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Public Evidence Packet

Anthropic - Acceptable Use Policy

Acceptable Use Policy

f3173b06-e116-4be0-bda3-272c3a919124
Screening date
09 Oct 2026, 02:46 UTC
Jurisdiction
Global
Risk screening
Medium · 4/10
Score trace
Baseline; no earlier public change

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.

  1. 01Source evidence
  2. 02Explainability
  3. 03Governance Relevance
  4. 04Report Output
01

Dataset QA · sanitized public view

Source evidence

Publication gate
Published
Retrieval state
Recorded retrieval available
Latest retrieval
09 Oct 2026, 02:46 UTC
Sanitized channel
direct
Data status
Available
Public snapshot evidence
Available

Public snapshot fingerprints

Previous · version 1cccacc3e6ffc5d09c81742d8c1c67fff20cb861c038ec7c0faad45121f74169cCaptured 06 Jul 2026, 07:20 UTC
Current · version 2707935f726b40d3e3485dc68820b0efa4dee1dccaef23da182b68c3d7bd4ff75Captured 09 Oct 2026, 02:46 UTC

Source confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity.

02

Source-anchored screening trace

Explainability

The updated policy significantly tightens rules against harmful AI uses, adding protections against manipulation, NCII, and clarifying security research.

  1. Reason 1-1.5 score contribution

    New section combats AI-driven deceptive campaigns and information manipulation.

    Related KPI
    Content moderation
    Source side
    new snapshot
    Verified exact source passage

    “Do Not Engage in Deceptive Campaigns or Artificial Activity”

  2. Reason 2-1 score contribution

    Expanded prohibitions on surveillance, criminal justice, and NCII enhance user safety.

    Related KPI
    Data collection
    Source side
    new snapshot
    Verified exact source passage

    “Create, distribute, threaten to share, promote, or facilitate the creation of non-consensual intimate imagery (“NCII”), including AI-generated material or tools designed to produce it”

  3. Reason 3-0.5 score contribution

    Clarified security research allowances and verification programs balance safety and innovation.

    Related KPI
    Regulatory compliance
    Source side
    new snapshot
    Verified exact source passage

    “This section does not prohibit security research, testing, or tool development conducted on systems you own or operate, with the authorization of the system owner, or within the scope of an authorized bug bounty program or vulnerability dis”

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.

03

Advisory review map

Governance Relevance

EU AI Act

Official Journal text, 2024

Mapped evidence

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
Opaque
Automated decisions
Opaque
AI bias and fairness
Mentioned
Framework source

ISO/IEC 42001

ISO/IEC 42001:2023 overview

Mapped evidence

Which recorded policy statements may inform an AI management-system review of transparency, risk oversight and independent assurance?

Algorithmic transparency
Opaque
AI bias and fairness
Mentioned
Independent audit
Absent
Regulatory compliance
Comprehensive
Framework source

NIST AI RMF

AI RMF 1.0; NIST revision in progress, checked 2026-07-29

Mapped evidence

Which recorded policy statements may support Govern, Map, Measure or Manage review questions?

Algorithmic transparency
Opaque
Automated decisions
Opaque
AI bias and fairness
Mentioned
Content moderation
Partial
Framework source

OECD AI Principles

OECD AI Principles, updated 2024

Mapped evidence

Which recorded policy statements may be relevant to transparency, fairness, accountability and user agency review?

Consent mechanism
Implicit
Algorithmic transparency
Opaque
AI bias and fairness
Mentioned
Independent audit
Absent
Framework source

Mappings identify review relevance between recorded PolicyWatcher KPI fields and framework topics. They are not legal interpretations, conformity assessments, certifications or compliance verdicts.

04

Exact change-bound files

Report Output

Both files are generated from this exact change ID.

Download exact-change PDF Download exact-change JSON
Packet content digest · SHA-256d261fa03e59a552a44624fd544dc845e47102f5966d701c437f19a4295384986

Questions before reuse

  1. Does the original Acceptable Use Policy source still match the recorded public snapshot version 2?
  2. Do the cited source passages support each displayed reason, KPI value and regional note?
  3. Which advisory framework topics require specialist legal, risk or governance review for this use case?
  4. Has a later public change superseded this packet before it is reused in a decision or publication?