Reference
Glossary
Find the terms Paper Trail uses in lessons, practice, and project rubrics. Definitions link to their supporting references when one is available.
Back to Explore452 glossary terms
- acceptance criterion
- An observable condition the revised result must meet before it is accepted.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- acceptance example
- A concrete input, action, and observable outcome used to decide whether a feature meets its brief.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- access scope
- The specific data, folders, services, or actions a tool is permitted to reach.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- account handoff
- A traceable record of evidence, communication state, open questions, ownership, and allowed next actions.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- account hypothesis
- A tentative, evidence-linked implication about a fictional organization that remains unconfirmed.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- action ledger
- A structured record of actions, owners, dates, status, dependencies, and source evidence.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- action state
- A precise label such as proposed, approved, completed, failed, or not attempted.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- adoption gate
- A required evidence and review decision before an organizational change may expand to another stage.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- agent tool
- A capability that lets an assistant inspect a resource or perform an action beyond producing chat text.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- AI operating plan
- A proposed system connecting organizational outcomes, use cases, decision rights, evidence, resources, controls, adoption, and exit.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- alternative method
- A different way to access or complete a process when the default method creates a barrier.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- angle card
- A compact content idea containing an audience tension, bounded claim, supporting evidence, and intended format.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- application evidence
- Observable output or interface information showing that required skill rules were used.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- approval gate
- A required human decision placed immediately before a consequential action, supported by an exact preview.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- approval mode
- The configured rule for when an agent must obtain confirmation before an action.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- approved system
- A tool or environment authorized by the responsible organization for a defined information classification and use.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- assumption to test
- A plausible but unsupported belief kept visibly separate from verified audience evidence.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- audience moment
- The concrete situation in which a reader needs the content and is ready to act on it.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- automation readiness
- Evidence that a stable process has measurable quality, bounded failures, review ownership, and a rollback path.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- bearer credential
- A secret whose holder may be able to act with its assigned authority.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- behavior anchor
- An observable example that clarifies what a rubric level means without inferring hidden traits.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- behavior trace
- A map following an action through interfaces, contracts, state, persistence, and observable output.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- blocking branch
- A research branch whose evidence threshold must be met before the intended decision can proceed.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- blocking finding
- A review issue that must be resolved or explicitly accepted by an authorized owner before progression.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- boundary validation
- Checking data as it enters or leaves a step so malformed records do not spread through the workflow.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- bounded task
- A delegation with explicit scope, ownership, inputs, deliverable, constraints, and completion evidence.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- break-even point
- The point where work saved through delegation becomes greater than the coordination effort it adds.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- buying signal
- Evidence that may indicate interest or change, which requires source, scope, and validation before use.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- buying trigger
- An observable change that may make a relevant problem more timely without proving pain or intent.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- candidate window
- A proposed time derived from stated constraints that remains unconfirmed until a human approves it.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- capability surface
- The specific set of operations an integration exposes in its current configuration.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- change preview
- A before-and-after proposal showing targets, consequences, alternatives, and required approval before execution.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- channel-native adaptation
- A version redesigned for a format's audience and job without changing the supported meaning.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- chart claim
- A statement about a visualized pattern that must remain within the underlying data and design.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- claim audit
- A systematic check that every consequential statement is supported by evidence matching its exact wording and scope.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- claim boundary
- The limit of what approved evidence can support without inference inflation.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- claim headline
- A complete sentence stating the evidence-backed takeaway a slide is meant to establish.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- claim ledger
- A source-of-truth record of claims, evidence, limitations, quotations, and rights used across derivative drafts.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- claim matrix
- A table connecting each customer-facing claim to approved evidence, scope, freshness, and review status.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- Claim scope
- The product, version, place, time, audience, and conditions within which the available evidence supports a claim.
- claim status
- A label distinguishing observed, calculated, assumed, proposed, approved, and unresolved statements.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- claim-level link
- A reference placed beside a specific statement so a reviewer can inspect its supporting evidence directly.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- claim-specific freshness
- A recency requirement chosen according to how quickly the fact or behavior being claimed can change.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- clean re-brief
- A self-contained correction that restates the goal, failed criterion, desired result, and useful example.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- close incident
- A failure affecting a period-end financial or operational reporting workflow and its review evidence.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- close-the-loop draft
- A respectful final message draft that releases pressure and records no assumption of continued interest.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- command center
- A linked operational view of decisions, commitments, actions, schedule, status, and unresolved issues.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- command line
- A text interface for issuing commands to tools or the operating system.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- commitment inference
- An unsupported conversion of tentative, descriptive, or ambiguous language into an assigned obligation.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- competing explanation
- An alternative account of an observed pattern that could change interpretation or action.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- conditional conclusion
- A conclusion whose supported population, setting, assumptions, and uncertainty are stated explicitly.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- Confabulation
- Generated content presented with confidence even though it is erroneous, false, inconsistent, or divergent from the input.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- confirmation status
- A field showing whether a proposed owner, deadline, or decision has been explicitly accepted by the relevant human.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- connector
- A configured integration that lets a product access defined data or operations in another system.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- consequence of delay
- The specific harm or missed opportunity that could occur if a request is not handled by its actual deadline.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- consequential action
- An operation such as sending, deleting, publishing, paying, or updating a system whose effects may be hard to reverse.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- consequential assessment
- Assessment used to determine grades, placement, credentials, access, progression, or other meaningful learner outcomes.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- construct alignment
- The match among intended learning, instruction, practice, evidence, and evaluation criteria.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- construct equivalence
- Comparable evidence of the same intended learning outcome across different accessible formats.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- content pillar
- A recurring evidence-backed promise to help a defined audience with one important problem.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- content provenance
- A trace of the source elements and decisions behind an adapted asset.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- context boundary
- The set of account, device, workspace, storage, and policy controls that separate one body of information from another.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- context drift
- A loss of alignment between the active task and the assumptions guiding current work.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- context rot
- An informal name for declining clarity when stale or competing material accumulates around a task.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- context window
- A model-dependent limit on the amount of input and conversation material processed together.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Temporary Chat FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Temporary Chat for consumers · Documentation reviewed 2026-07-20 · Covers current history, memory, model-improvement, safety-retention, and GPT-action behavior; it is not evidence that a particular organization's data is approved for use.
- contrast example
- A sample that shows what to avoid so the desired boundary is easier to see.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- control evidence
- A retained record showing what procedure occurred, on which population, by whom, when, and with what result.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- control total
- A known count or aggregate used to detect dropped, duplicated, or changed values after transformation.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- control total
- An independently supplied aggregate used to check the completeness or accuracy of a transferred dataset.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- controlled replay
- Rerunning preserved synthetic fixtures in a local test environment to verify a fix and check regressions.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- coordination overhead
- The briefing, communication, review, conflict-resolution, and integration work added by delegation.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- correction spiral
- A sequence of dependent patches that adds confusion without resolving the underlying failure.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- creative hypothesis
- A testable expectation about how one controlled creative choice may affect comprehension or response.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- credential
- A secret used to authenticate or authorize access, such as a password, private key, token, or recovery code.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- critique ledger
- A structured record of observations, criteria, impact, priority, disposition, and revision requests.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- cross-cutting validation
- A check applied to the combined result rather than to one workstream alone.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- cue sheet
- A timed record of spoken text, music, effects, sources, rights, and review notes for an audio asset.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- cut plan
- A documented way to remove a blocked or weak scene while preserving the video's essential message.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- data contract
- An explicit agreement about the names, types, meaning, and validation rules of fields exchanged between steps.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- data dictionary
- A reference defining each field's meaning, type, valid values, format, and missing-data rule.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- data lineage
- The trace from source material through extraction, transformation, calculation, visualization, and reported claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- data minimization
- Providing only the information necessary for the task instead of sharing everything available.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- Data minimization
- Limiting an input to the smallest amount and least sensitive form of information needed for the stated task.
- decision boundary
- The limit of action justified by available evidence, scope, authority, and uncertainty.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- decision brief
- A traceable synthesis of evidence, assumptions, options, uncertainties, and ownership prepared for an accountable decision maker.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- decision memo
- A concise, evidence-linked artifact that makes a specific choice, options, recommendation, and uncertainty reviewable.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- decision narrative
- A traceable explanation of evidence, options, tradeoffs, authority, and the exact decision requested.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- decision question
- A bounded evidence-seeking question connected to options an accountable owner can choose.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- decision queue
- A reviewable list that ranks messages and explains the proposed next action without carrying it out.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- decision queue
- A prioritized list of questions requiring an accountable owner before work can proceed.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- dependency disposition
- The recorded decision to approve, replace, defer, or reject a dependency with evidence and ownership.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- dependency graph
- A map showing which task outputs must exist before other tasks can begin.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- diff traceability
- The connection from each changed hunk to an approved requirement, risk, or documented defect.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- directness
- How closely a source's evidence addresses the exact population, setting, measure, and claim under review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- dry run
- A test that produces observable proposed results without performing external side effects.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- durable record
- A maintained artifact intended to remain useful beyond the current session.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- earned specificity
- Concrete detail supported by approved evidence or firsthand material rather than invented to make prose vivid.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- enablement blocker
- An unresolved condition that must prevent a workflow from being activated.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- engagement proxy
- An activity measure that may correlate with participation but does not by itself demonstrate learning.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- equivalent evidence
- Different accessible artifact forms that demonstrate the same intended capability without changing its standard.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- essential meaning
- Information or relationships a learner must access to meet the intended objective.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- evidence chain
- The trace from a requirement through implementation and validation plans to a bounded release decision.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- evidence synthesis
- A traceable organization of source observations by criterion without converting them into an unauthorized decision.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- evidence trail
- A record connecting a claim to its source, review date, and verification result.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- evidence unit
- A bounded finding from one source connected to one research claim and its limitations.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- evidence weighting
- Judging sources by relevance, quality, recency, directness, and independence rather than treating each as an equal vote.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- executive decision pack
- A concise decision view backed by reproducible evidence, analysis, limitations, and accountable review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- executive signal
- A change, decision, risk, or outcome material enough to deserve leadership attention.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- fabricated personalization
- A tailored-looking statement built from invented, irrelevant, or unsupported details about a person or organization.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- fading scaffold
- Support intentionally reduced as a learner demonstrates greater independent control of a task.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- fallback path
- The explicit route for data or runs that do not satisfy the expected condition.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- falsification signal
- Observed evidence indicating that an assumption no longer supports the scenario in which it is used.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- file allowlist
- The explicit set of files or artifact types authorized for a planned change.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- finance review package
- A versioned collection of source, calculation, reconciliation, control, scenario, and decision-support drafts for qualified review.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- first divergence
- The earliest workflow step where the actual result differs from the expected result.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- fit signal
- Evidence that a fictional organization has the process, need, and constraints an offer is designed to serve.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- formative assessment
- Low-stakes evidence used to guide instruction, practice, feedback, and learner reflection.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- formula lineage
- The recorded source fields and calculation steps that produced a derived value used in a visual or claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- fresh brief
- A self-contained statement of the current goal, constraints, sources, and next action.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- freshness trigger
- An event or date that prompts a claim to be reviewed again.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- handoff state
- The concise current status and next-step information needed to resume work.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- human authorship decision
- A meaning-bearing creative choice intentionally selected and owned by a person rather than delegated without review.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- hunk annotation
- A note explaining the purpose, evidence, risk, and test relationship of one contiguous patch section.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- idempotency
- A design property that prevents the same event or retry from producing duplicate effects.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- idempotency
- A design property that prevents a repeated trigger from duplicating an intended effect.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- idempotency key
- A stable identifier used to prevent the same logical request from producing duplicate actions.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- indirect identifier
- A detail that can reveal a person or case when combined with other available information.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- input method
- The mechanism used to provide material, such as pasted text, an uploaded file, or a scoped connection.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- instruction scope
- The files, directories, or tasks to which an instruction applies.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- insufficient evidence
- A review state indicating that available information cannot support a rubric judgment.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- integration ledger
- A review record linking each delegated result to evidence, conflicts, decisions, and final validation.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- investment learning case
- A staged evidence proposal for testing value, cost, and risk before an authorized funding decision.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- invocation
- The tool-specific act or matching process that selects a skill for a task.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- item validity
- The extent to which an assessment task supports the intended interpretation for its stated purpose.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- job relevance
- A supported connection between a criterion or assessment and observable requirements of the work.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- kill switch
- A tested control that stops new runs or prevents further effects when a workflow behaves unexpectedly.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- knowledge page
- A maintained document that answers one durable project question.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- knowledge promotion
- The controlled process of turning reviewed source material into reusable, maintained knowledge.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- layout verification
- Comparing extracted content with the rendered page to confirm reading order, headers, signs, units, and footnotes.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- learner agency
- A learner's meaningful ability to understand, question, choose, and act within a learning process.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- learner context
- Relevant task, prior-opportunity, access, support, and environment information used cautiously in learning design.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- learning budget
- A proposed cap on time, money, scope, or cases for a reversible evidence-gathering stage.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- learning evidence
- Observable task work used to guide instruction, distinct from inferred traits or an employment decision.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- learning review package
- A versioned set of aligned instructional, access, assessment, feedback, and evaluation drafts for authorized expert review.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- least privilege
- Giving a tool only the access needed for the current task and no more.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- least privilege
- Granting only the access needed for a defined task and no more.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- link topology
- The pattern of explicit relationships connecting pages in a knowledge collection.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- listening review
- A human check of intelligibility, timing, pronunciation, artifacts, meaning, and source fidelity in rendered audio.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- managed device
- A device whose software, access, and data-handling rules are controlled by an organization.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- management assumption
- A planning input supplied by an authorized human owner rather than directly observed or independently verified.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- manual path
- A maintained non-AI way to complete or obtain the service when the assisted path is unsuitable or unavailable.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- markdown
- A plain-text convention that uses lightweight markers to express document structure.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- material change
- A change to purpose, data, capability, system, population, consequence, or evidence that requires renewed review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- meaningful dissent
- A substantiated disagreement that could affect the decision and must not be erased by synthesis.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- meeting decision
- The specific choice, approval, or alignment the meeting is intended to produce.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- message angle
- A chosen framing that connects an audience need to a supported value proposition.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- message architecture
- The evidence-backed relationship among audience need, value, proof, action, and channel role.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- minimum exposure
- Supplying the least amount of accessible data that still supports the task.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- monitoring signal
- An observed pattern that warrants qualified investigation but is not itself a legal or causal conclusion.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- multimodal campaign system
- A coordinated set of image, audio, video, variant, evidence, access, and review plans governed by one brief.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- need hypothesis
- A tentative account need framed for validation rather than asserted as buyer truth.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- no-action default
- A rule that timeout, silence, ambiguity, or failure cannot trigger the consequential action.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- no-authorization statement
- An explicit record of actions and decisions the draft does not permit or claim to complete.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- normalization rule
- A documented deterministic transformation from the original source representation to a standard stored value.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- objection diagnosis
- Clarifying what a concern actually means before choosing a response or next step.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- OCR uncertainty
- Uncertainty introduced when an image of text is converted into machine-readable characters.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- operating effectiveness
- A qualified conclusion about whether a control operated as designed over an appropriate period and population.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- operating ownership
- Accountability for maintaining a use, its evidence, controls, decisions, incidents, and retirement over time.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- operating specification
- The complete, versioned definition of how a workflow should run, be tested, be observed, and be governed.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- operational constraint
- A condition that affects what work can occur without exposing the underlying sensitive detail.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- opportunity to learn
- The instruction, practice, resources, and access a learner has received before performance is interpreted.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- orchestrator
- The accountable agent or person who decomposes, assigns, reviews, and integrates delegated work.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- organizational commitment
- An authorized decision that allocates policy, funding, people, systems, or accountable action.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- organizational deliberation
- A governed human process for reviewing evidence and making decisions through assigned authority.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- output contract
- An explicit description of the structure and quality a result must satisfy.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- output format
- The requested structure, length, and organization of an answer.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- outward action
- An action that sends, publishes, uploads, shares, or otherwise moves information beyond the current local task boundary.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- ownership boundary
- The files, decisions, or artifacts one task may change and those it must leave alone.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- parking lot
- A topic intentionally retained for later discussion without treating it as a current decision or action.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- partial write
- A state in which only some intended changes occurred before interruption or failure.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- pillar boundary
- An explicit rule describing which ideas belong in a pillar and which should be excluded or redirected.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- pipeline staleness
- A lack of recent buyer evidence or a dated next action that signals a record needs review, recycling, or closure.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- plug
- An unsupported adjustment inserted only to force totals to agree.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- portfolio gate
- A required condition a use case must satisfy before benefit-based prioritization is appropriate.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- Preflight
- A short check completed before an AI task to record the data boundary, approved environment, evidence requirements, and safe next action.
- preserved behavior
- An existing contract the change must leave intact even though nearby behavior is modified.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- primary source
- Original evidence or a direct official record that supports a claim at its source.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- problem frame
- A bounded description of an outcome, current evidence, stakeholders, constraints, consequences, and decisions needed.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- process disclosure
- A bounded explanation of how information or automation is used in a workflow, based on approved facts.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- process owner
- The human authorized to confirm the workflow rules, exceptions, and acceptable outcomes.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- prompt injection
- An attempt inside processed content to redirect an AI system away from the authorized user instruction.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- proof boundary
- The sample, setting, period, and limitation that define how far a result can safely be generalized.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- protected element
- A logo, message, likeness, disclosure, or other feature that must not be altered outside defined limits.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- protected revision element
- A verified claim, right, disclosure, brand feature, or successful design choice that a revision must retain.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- provenance
- The recorded origin and path that let a reviewer trace a claim back to its supporting source.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- provenance
- Evidence about where a package came from and how its current contents were produced.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- provenance chain
- The documented sequence from source material through edits, synthetic elements, variants, and selected output.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- provisional feedback
- Feedback explicitly limited by current evidence and open to correction through human review.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- raw material
- An original or minimally changed input preserved for review, subject to storage and permission rules.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- re-performance
- Independent repetition of a procedure or check using preserved evidence to verify the result after change.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- readiness decision
- An evidence-backed recommendation to continue authorized review, revise, or reject without implying deployment approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- recommendation status
- A label showing whether a recommendation is supported, conditional, deferred, or abstained.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- reconciliation failure
- A mismatch between transformed output and a trusted count or control total beyond the predefined tolerance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- reconciling item
- A documented difference explaining part of the relationship between two independently defined balances.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- recovery path
- A tested way to restore the prior state if a change is wrong.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- reference example
- A safe sample that demonstrates what a successful result should resemble.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- refusal condition
- A stated situation in which a skill must stop or return the decision to a person.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- release evidence state
- The exact status of a readiness item, such as proposed, executed, passing, reviewed, or approved.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- release handoff
- A package stating artifact status, completed checks, unresolved stops, and the authorized next owner.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- relevance chain
- A sequence linking verified context to a tentative implication, relevant outcome, credible proof, and small next step.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- replay
- A controlled reconstruction of a run from retained inputs, versions, decisions, and step evidence.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- reporting checkpoint
- The dated baseline against which a project update describes material change.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- representative example
- A sample that clearly demonstrates the particular quality the learner wants to transfer.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- requirement traceability
- The explicit connection between a requirement or risk and the test evidence intended to cover it.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- reset brief
- A compact statement of the current goal, decisions, constraints, and next step.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- residual variance
- The portion of a variance not yet explained by supported reconciling drivers.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- review packet
- The proposal, evidence, target, uncertainty, and controls shown before an approval decision.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- review-only patch
- A proposed code change prepared for inspection but not applied, executed, or represented as validated.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- reviewable action
- An action whose target, proposed change, and consequence can be inspected before or during execution.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- reviewer disagreement
- A documented difference in human interpretation that remains visible until resolved through an approved process.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- revision instruction
- A focused request that identifies a defect and describes the exact change needed.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- revision ledger
- A traceable record connecting proposed instructional changes to evidence, ownership, tests, and decisions.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- rollback path
- The steps for disabling a connection and withdrawing its access.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- rollback unit
- The smallest coherent code, configuration, or data change that can be reversed to restore prior behavior.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- rotation
- Replacing a credential and retiring the previous value.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- run receipt
- A concise evidence record of one workflow run's inputs, decisions, action states, approvals, results, and errors.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- run stamp
- A compact record of report period, data-as-of time, run ID, versions, validation result, exceptions, and reviewer status.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- safe crop
- A framing boundary within which an image can be resized without losing essential meaning or protected elements.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- scenario assumption
- A stated, versioned input or relationship used to explore a possible future outcome.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- scene provenance
- The source, rights, evidence, and transformation record attached to one storyboard scene.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- selection proxy
- An indirect signal used in place of direct evidence about job-related capability.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- selection rate
- The proportion of a clearly defined population receiving a specified selection-stage outcome.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- selection review package
- A versioned set of job, evidence, access, workflow, and monitoring drafts prepared for authorized expert review.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- Sensitive information
- Material whose unauthorized disclosure or use could harm a person, organization, or system, including personal, confidential, or access-control details.
- sensitivity case
- A recalculation showing how a conclusion changes when an uncertain input or assumption changes.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- sensory-channel independence
- The ability to access essential meaning without relying exclusively on sight, sound, color, or motion.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- sequence state
- The evidence-backed status controlling whether a draft is proposed, waiting, stopped, or eligible for review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- session handoff
- A concise record that preserves the current state needed to resume focused work.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Temporary Chat FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Temporary Chat for consumers · Documentation reviewed 2026-07-20 · Covers current history, memory, model-improvement, safety-retention, and GPT-action behavior; it is not evidence that a particular organization's data is approved for use.
- sign-off boundary
- The point at which only an authorized named human may record review, approval, or a qualified conclusion.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- skill
- A tool-specific reusable instruction package for a bounded task.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- software change dossier
- A reviewable local package connecting product need, planned files, proposed patch, tests, risks, decisions, and recovery.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- source ledger
- A record of each creative input, its origin, rights status, allowed use, attribution, and unresolved questions.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- source lineage
- The chain showing whether multiple publications derive from the same original evidence or from independent work.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- source location
- A reproducible pointer such as document, page, section, table, row, column, or footnote.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- source of truth
- The designated record that controls when multiple versions or recollections conflict.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Temporary Chat FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Temporary Chat for consumers · Documentation reviewed 2026-07-20 · Covers current history, memory, model-improvement, safety-retention, and GPT-action behavior; it is not evidence that a particular organization's data is approved for use.
- source of truth
- The designated version of a record that should be consulted when copies differ.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- source provenance
- Information about where a claim or piece of context came from.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Apps in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT apps and connected services · Documentation reviewed 2026-07-20 · Availability, actions, data use, scopes, and admin controls vary by app, plan, workspace, and configuration.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- source-value ledger
- A traceable table preserving reported values and metadata separately from transformations and interpretation.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- stable slice
- A bounded workflow segment with repeatable inputs, explicit rules, and containable failure modes.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- stage exit evidence
- The buyer-verified facts required before an opportunity can legitimately move to the next stage.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: File storage and Library in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT file storage and Library · Documentation reviewed 2026-07-20 · File retention and use depend on product, plan, workspace retention, and data-control settings.
- staged test
- A narrow first run designed to reveal problems while limiting consequences.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- standing instruction
- A durable rule that should guide repeated work rather than one isolated task.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- status freshness
- The date and evidence showing when an operational status was last confirmed.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- status rule
- A predefined evidence standard that determines labels such as on track, at risk, or blocked.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- stop authority
- Explicit organizational authority to pause or end a use when a defined condition occurs.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- structured interview
- An interview using comparable job-related questions, probes, evidence records, and scoring anchors.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- structured selection
- A process that asks comparable job-related questions and evaluates evidence against predeclared anchors.
- U.S. Equal Employment Opportunity Commission: Employment Tests and Selection Procedures
Reviewed: 2026-07-20
Scope: United States federal employment context · Technical assistance without the force of law; qualified employment-law and HR review is required for any real procedure.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- style transfer
- Applying observable writing characteristics from a reference to new content without carrying over its facts.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- superseding record
- A newer authoritative record that replaces an earlier decision or instruction.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- supported performance
- Task practice completed with available guidance, feedback, and access supports before independent expectations apply.
- U.S. Equal Employment Opportunity Commission: Artificial Intelligence and the ADA
Reviewed: 2026-07-20
Scope: United States federal employment and disability context · Resource collection for accessibility and disability-related risks; not legal advice or organizational approval.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- suppression condition
- A rule preventing further contact when consent, identity, policy, or relevance conditions are not met.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- surface imitation
- Copying visible wording or format without demonstrating the underlying reasoning or capability.
- U.S. Department of Education, Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Reviewed: 2026-07-20
Scope: May 2023 report · United States education policy context · Used for educator-centered design and policy questions; it is not approval for a tool, assessment, or learner-data practice.
- UNESCO: AI competency framework for teachers
Reviewed: 2026-07-20
Scope: 2024 framework · Global reference framework · Supports human agency, ethics, AI pedagogy, and professional learning; local education requirements still need qualified review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- task context
- The facts and constraints a collaborator needs to complete one specific job.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- test oracle
- An independent rule or source used to decide whether a test result is correct.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- topic-only citation
- A link related to the general subject that does not contain evidence supporting the specific claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- transferred burden
- Work, cost, risk, or delay moved from one group or process to another rather than eliminated.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- transformation contract
- A channel-specific rule set describing what may change and what meaning must remain stable.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- transformation log
- A sequenced record of changes from raw evidence to analysis-ready data.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- trigger condition
- The observable situation in which a reusable instruction should apply.
- OpenAI Help Center: Skills in ChatGPT
Reviewed: 2026-07-20
Scope: OpenAI Skills · Documentation reviewed 2026-07-20 · Skill availability, installation, discovery, and invocation vary by OpenAI product and workspace configuration.
- OpenAI Help Center: Plugins in Codex
Reviewed: 2026-07-20
Scope: Codex plugins and apps · Documentation reviewed 2026-07-20 · Plugin capability depends on included skills, enabled apps, app permissions, workspace policy, and product surface.
- trust boundary
- A point where data or actions cross between actors, systems, permissions, or confidence levels.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- National Institute of Standards and Technology: Secure Software Development Framework (SSDF)
Reviewed: 2026-07-20
Scope: NIST SP 800-218 version 1.1 and current project page · United States; voluntary cross-sector framework · Used for secure-development practice structure; it does not certify a product, repository, or release.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- truth pass
- The first editing pass that checks factual claims, citations, quotations, dates, and permissions before style.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- use boundary
- A proposed limit on purpose, data, system, actions, ownership, and time prepared for organizational approval.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- National Institute of Standards and Technology: NIST Privacy Framework
Reviewed: 2026-07-20
Scope: Privacy Framework 1.1 landing page reviewed 2026-07-20 · United States; voluntary framework · Supports privacy-risk reasoning and data minimization; applicable policy and legal requirements remain context-specific.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- variance driver
- An evidenced component proposed to explain part of the difference between two measured values.
- U.S. Securities and Exchange Commission: Management's Report on Internal Control Over Financial Reporting
Reviewed: 2026-07-20
Scope: United States public-company reporting context · Narrow context for control ownership and reporting evidence; not accounting, audit, securities, or legal advice.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- variant constant
- A claim, right, disclosure, brand element, or access requirement that must remain unchanged across options.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- visual invariant
- A compositional, typographic, color, or subject rule that remains stable across system variants.
- United States Copyright Office: Copyright and Artificial Intelligence
Reviewed: 2026-07-20
Scope: AI initiative and report landing page reviewed 2026-07-20 · United States · Used to frame rights and authorship questions; route work remains a draft and is not legal advice or a rights determination.
- World Wide Web Consortium: Web Content Accessibility Guidelines (WCAG) 2.2
Reviewed: 2026-07-20
Scope: W3C Recommendation, WCAG 2.2 · Normative web-content accessibility criteria; individual lessons do not make a conformance claim.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile
Reviewed: 2026-07-20
Scope: NIST AI 600-1 · Voluntary, cross-sector profile used here for data-privacy, confabulation, information-integrity, fact-checking, and source-verification guidance.
- voice guide
- A maintained set of approved samples and concrete rules for recurring writing choices.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Codex repository: AGENTS.md documentation pointer
Reviewed: 2026-07-20
Scope: Codex AGENTS.md guidance · Repository documentation reviewed 2026-07-20 · Repository implementation documentation may change with Codex versions and feature flags.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
- workflow contract
- An explicit definition of inputs, transformations, decisions, outputs, actions, and failure behavior.
- National Institute of Standards and Technology: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Reviewed: 2026-07-20
Scope: NIST AI 100-1; the AI RMF 1.0 is under revision · United States; voluntary cross-sector framework · Used for risk-management structure, not as legal advice, organizational approval, or a substitute for domain review.
- OWASP Foundation: OWASP Top 10 for Large Language Model Applications
Reviewed: 2026-07-20
Scope: LLM-enabled application security · Project page reviewed 2026-07-20 · Security awareness guidance, not a complete threat model, penetration test, or approval for a production design.
- working context
- The information available and relevant to the model for the current interaction.
- OpenAI Help Center: Memory FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Memory · Documentation reviewed 2026-07-20 · Memory behavior depends on settings, plan, workspace policy, and product changes. It is not an organizational permission decision.
- OpenAI Help Center: Projects in ChatGPT
Reviewed: 2026-07-20
Scope: ChatGPT Projects · Documentation reviewed 2026-07-20 · Project context and memory vary by plan and settings; this source does not approve any data for use.
- OpenAI Help Center: Temporary Chat FAQ
Reviewed: 2026-07-20
Scope: ChatGPT Temporary Chat for consumers · Documentation reviewed 2026-07-20 · Covers current history, memory, model-improvement, safety-retention, and GPT-action behavior; it is not evidence that a particular organization's data is approved for use.
- working directory
- The folder a command treats as its current location and default scope.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- workspace boundary
- The files, resources, and tools that a particular task or environment can reach.
- OpenAI Developers: Codex use cases
Reviewed: 2026-07-20
Scope: Codex · Use-case catalog reviewed 2026-07-20 · Illustrative workflows, not a guarantee of availability, permissions, or behavior in every Codex surface.
- OpenAI: Running Codex safely at OpenAI
Reviewed: 2026-07-20
Scope: Codex safety practices · Article reviewed 2026-07-20 · Describes OpenAI practices and product safety concepts; users must still follow their own policy and environment controls.
- OpenAI Help Center: Data Controls FAQ
Reviewed: 2026-07-20
Scope: ChatGPT consumer services · Documentation reviewed 2026-07-20 · Consumer Data Controls behavior only. Business, Enterprise, Edu, API, legal obligations, and an employer's approval policy are outside this source's scope.
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Paper Trail working definition. A supporting external reference has not been assigned.
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Paper Trail working definition. A supporting external reference has not been assigned.
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