Public Evidence Packet
PayPal
Privacy Statement
488db3ea-38f7-4aac-9bc8-cc765f73ae86- Screening date
- 02 Aug 2026, 12:50 UTC
- Jurisdiction
- EU
- Risk screening
- Medium · 7/10
- 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 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
320239c1eb5644bef52632ccf2177de89fd5c2d82de78bab34f0b8c193a41ec7Captured 02 Aug 2026, 11:29 UTC168f01646ad727bfb22632a07b38d4213b1e7ace135386ba18deefa502a85984Captured 02 Aug 2026, 12:50 UTCSource confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity.
Source-anchored screening trace
Explainability
This PayPal Privacy Statement outlines extensive data collection and sharing practices, including sensitive and biometric data, with a focus on service provision and fraud prevention.
- Reason 10 score contribution
Extensive collection of sensitive data like biometrics and precise location.
- Related KPI
- Data collection
- Source side
- Not recorded
Source passage not recordedThis historical reason has no recorded source passage.
- Reason 20 score contribution
Personal data is used for AI model training and automated decision-making.
- Related KPI
- AI training opt-out
- Source side
- new snapshot
Verified exact source passage
“We may use Personal Information to train our artificial intelligence (AI) models that power our Services and help us deliver more secure, efficient, and personalized services.”
- Reason 30 score contribution
Broad sharing of data with various third parties, including AI providers.
- Related KPI
- Third-party sharing
- 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
- Not Available
- Algorithmic transparency
- Opaque
- Automated decisions
- Partial
- 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
- 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?
Exact change-bound files
Report Output
Both files are generated from this exact change ID.
Download exact-change PDF Download exact-change JSONd9f3ba84ee3b8ce7afe583372d12f4791dfc6235b0cf443d6b47ebff45573680Questions before reuse
- Does the original Privacy Statement source still match the recorded public snapshot version 6?
- 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?