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Public Evidence Packet

Anthropic - Non-User Privacy Policy

Non-User Privacy Policy

00ea4d5e-288b-4d65-a4cf-c1ebf1433015
Screening date
07 Nov 2026, 19:41 UTC
Jurisdiction
Global
Risk screening
Medium · 5/10
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.

  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
07 Nov 2026, 19:41 UTC
Sanitized channel
direct
Data status
Available
Public snapshot evidence
Available

Public snapshot fingerprints

Previous · version 25280b5dd650aa5d07a2b0923b2277b10ae988cf6144542e5012b0d99f9f03ee7Captured 22 Oct 2026, 11:42 UTC
Current · version 37c0d4889bead53b7130809115a3f147a382f7dc1ec7d74d135f84c99e9734253Captured 07 Nov 2026, 19:41 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

Anthropic clarifies how web data and non-user personal information are processed for AI model training under legitimate interests.

  1. Reason 1+3 score contribution

    Collects public internet data which may incidentally contain personal information.

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

    “When we gather this material, we are not looking for information about particular individuals, but some of it will incidentally contain personal information”

  2. Reason 2+4 score contribution

    Relies on legitimate interests for training models without explicit user consent.

    Related KPI
    Consent mechanism
    Source side
    new snapshot
    Verified exact source passage

    “It is in our legitimate interests to train and improve our AI models.”

  3. Reason 3+2 score contribution

    Retains data as long as necessary for model training and future versions.

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

    “how long it remains necessary for training, testing, maintaining and improving our models, including future versions”

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
Mentioned
Automated decisions
Transparent
AI bias and fairness
Committed
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
Mentioned
AI bias and fairness
Committed
Independent audit
Mentioned
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
Mentioned
Automated decisions
Transparent
AI bias and fairness
Committed
Content moderation
Transparent
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
Opt-Out
Algorithmic transparency
Mentioned
AI bias and fairness
Committed
Independent audit
Mentioned
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-256447d9b16afe7fb2f635030303138518f8ec0fa7593bcab57ce4892a9dac4041a

Questions before reuse

  1. Does the original Non-User Privacy Policy source still match the recorded public snapshot version 3?
  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?