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Public Evidence Packet

Microsoft - Privacy Statement

Privacy Statement

0a9d773d-4417-4498-833b-e9ae88d6433c
Screening date
23 Sept 2026, 17:20 UTC
Jurisdiction
US
Risk screening
High · 8/10
Score trace
-1 points from previous 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
23 Sept 2026, 17:20 UTC
Sanitized channel
direct
Data status
Available
Public snapshot evidence
Available

Public snapshot fingerprints

Previous · version 20d69136f4c89eac5a2a6b57f1c5f81fb68e1acc289f939d66e158406f74ab54eCaptured 01 Aug 2026, 04:35 UTC
Current · version 39e926972399f575385a7e5ce858a241e040cf216702544060ac870cb4b135c24Captured 23 Sept 2026, 17:20 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 policy update explicitly broadens device and usage data collection to include website and app interactions, maintaining existing concerns about AI training and data retention.

  1. Reason 1+1 score contribution

    Explicitly broader data collection for device and usage data.

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

    “your interactions with our websites and apps”

  2. Reason 20 score contribution

    User data is broadly used for AI model training without clear opt-out.

    Related KPI
    AI training opt-out
    Source side
    new snapshot
    Verified exact source passage

    “we may use your data to develop, train, and fine-tune our AI models, including large language models (LLMs).”

  3. Reason 30 score contribution

    Policy lacks specific data retention periods for personal data.

    Related KPI
    Data retention
    Source side
    Not recorded
    Source passage not recorded

    This 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.

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
Opt-Out
Algorithmic transparency
Mentioned
Automated decisions
Partial
AI bias and fairness
Absent
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
Absent
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
Mentioned
Automated decisions
Partial
AI bias and fairness
Absent
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
Absent
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-256a6952da5a252aff472a506c33d8e136857346484f8a48c648aa72d0ef42f161b

Questions before reuse

  1. Does the original Privacy Statement 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?