Public Evidence Packet
Anthropic - Acceptable Use Policy
Acceptable Use Policy
dc410e07-7a2e-4f3c-97a2-b37f64424aa2- Screening date
- 23 Oct 2026, 11:40 UTC
- Jurisdiction
- Global
- Risk screening
- Medium · 4/10
- Score trace
- 0 points; unchanged
This packet records PolicyWatcher evidence and AI-assisted screening for one public change. It is not legal advice, a compliance verdict, a certification, or proof that the external source remains unchanged.
- 01Source evidence
- 02Explainability
- 03Governance Relevance
- 04Report Output
Dataset QA · sanitized public view
Source evidence
- Publication gate
- Published
- Retrieval state
- Recorded retrieval available
- Latest retrieval
- 23 Oct 2026, 11:40 UTC
- Sanitized channel
direct- Data status
- Available
- Public snapshot evidence
- Available
Public snapshot fingerprints
707935f726b40d3e3485dc68820b0efa4dee1dccaef23da182b68c3d7bd4ff75Captured 09 Oct 2026, 02:46 UTC38321f645518cb86a6d62debf46ff043dbcbc71eb37298d7619307e70145d90cCaptured 23 Oct 2026, 11:40 UTCSource confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity.
Source-anchored screening trace
Explainability
Anthropic's updated AUP structures rules into universal standards, high-risk mandates, and consumer guidelines, tightening compliance duties for businesses.
- Reason 1+1 score contribution
New high-risk framework creates strict oversight for automated recommendations.
- Related KPI
- Automated decisions
- Source side
- new snapshot
Verified exact source passage
“Certain uses of our products and services can impact an individual’s health, legal rights, finances, livelihoods, or access to housing, education, or essential services.”
- Reason 2+2 score contribution
Mandatory human review adds operational friction for enterprise AI workflows.
- Related KPI
- Consent mechanism
- Source side
- new snapshot
Verified exact source passage
“A qualified person must meaningfully review a High-risk AI Recommendation, with the authority to change or modify it, before it is delivered as advice”
- Reason 3+1 score contribution
Explicit consumer AI disclosure requirements alter product interface obligations.
- Related KPI
- Algorithmic transparency
- Source side
- new snapshot
Verified exact source passage
“All consumer-facing chatbots or AI agents that communicate directly with external users must disclose to users that they are interacting with AI”
Score reasons and deltaScore values are stored AI-assisted screening outputs. Verified anchors confirm only that the quoted passage occurs in the named snapshot; they do not prove the interpretation.
Advisory review map
Governance Relevance
EU AI Act
Official Journal text, 2024
Which recorded policy statements may be relevant to transparency, automated decisions, data use and human oversight review?
- AI training opt-out
- Not Available
- Algorithmic transparency
- Published
- Automated decisions
- Transparent
- AI bias and fairness
- Committed
ISO/IEC 42001
ISO/IEC 42001:2023 overview
Which recorded policy statements may inform an AI management-system review of transparency, risk oversight and independent assurance?
- Algorithmic transparency
- Published
- AI bias and fairness
- Committed
- Independent audit
- Mentioned
- Regulatory compliance
- Comprehensive
NIST AI RMF
AI RMF 1.0; NIST revision in progress, checked 2026-07-29
Which recorded policy statements may support Govern, Map, Measure or Manage review questions?
- Algorithmic transparency
- Published
- Automated decisions
- Transparent
- AI bias and fairness
- Committed
- Content moderation
- Transparent
OECD AI Principles
OECD AI Principles, updated 2024
Which recorded policy statements may be relevant to transparency, fairness, accountability and user agency review?
- Consent mechanism
- Explicit Opt-In
- Algorithmic transparency
- Published
- AI bias and fairness
- Committed
- Independent audit
- Mentioned
Mappings identify review relevance between recorded PolicyWatcher KPI fields and framework topics. They are not legal interpretations, conformity assessments, certifications or compliance verdicts.
Exact change-bound files
Report Output
Both files are generated from this exact change ID.
Download exact-change PDF Download exact-change JSON8d56cdf64bb3dc971d024f65096d36ea5144f817c812ec51fa7e251eaff1f469Questions before reuse
- Does the original Acceptable Use Policy source still match the recorded public snapshot version 3?
- Do the cited source passages support each displayed reason, KPI value and regional note?
- Which advisory framework topics require specialist legal, risk or governance review for this use case?
- Has a later public change superseded this packet before it is reused in a decision or publication?