Public Evidence Packet
X (Twitter)
Privacy Policy
13282507-aa4e-4157-b3bf-9ecb3c05a06d- Screening date
- 19 Jul 2026, 03:54 UTC
- Jurisdiction
- Global
- Risk screening
- High · 8/10
- 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.
- 01Source Confidence
- 02Explainability
- 03Governance Relevance
- 04Report Output
Dataset QA · sanitized public view
Source Confidence
- Publication gate
- Published
- Retrieval state
- Review required
- Latest retrieval
- 06 Jul 2026, 03:59 UTC
- Sanitized channel
seeded- Data status
- Available
- Public snapshot evidence
- Available
Public snapshot fingerprints
e69ef5b135340621d551a77065a52d8c91559e6a4cb3a8268f8e6fb491c28cacCaptured 06 Jul 2026, 07:20 UTC1236fd7b51eb8a9a11c1df06078f86e64e57da47e4f1d4a4eba6589048f7430aCaptured 19 Jul 2026, 03:54 UTCSource confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity.
Source-anchored screening trace
Explainability
X collects extensive personal data, including biometrics, and uses it for AI training, with an opt-out for some third-party sharing, posing high privacy risks.
- Reason 1+3 score contribution
Collection of sensitive biometric data for security and identification purposes.
- Related KPI
- No related KPI recorded
- Source side
- Not recorded
Source passage not recordedThis historical reason has no recorded source passage.
- Reason 2+3 score contribution
User data, including public content, is used for X's own AI model training.
- Related KPI
- No related KPI recorded
- Source side
- Not recorded
Source passage not recordedThis historical reason has no recorded source passage.
- Reason 3+2 score contribution
Opt-out mechanism for third-party AI training, not an explicit opt-in.
- Related KPI
- No related KPI recorded
- Source side
- Not recorded
Source passage not recordedThis historical reason has no recorded source passage.
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
- Opt-Out
- Algorithmic transparency
- Opaque
- Automated decisions
- Opaque
- AI bias and fairness
- Absent
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
- Opaque
- AI bias and fairness
- Absent
- Independent audit
- Absent
- Regulatory compliance
- Partial
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?
Exact change-bound files
Report Output
Both files are generated from this exact change ID.
Download exact-change PDF Download exact-change JSON2da115e877310bd97e4fe5b5f40cdfdfe0aa721aee26820901ec7db3f39201e5Questions before reuse
- Does the original Privacy Policy source still match the recorded public snapshot version 2?
- 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?