{"schema":"https://policywatcher.online/schemas/evidence-collection/v1","schemaVersion":"1.0.0","asOf":"2026-08-01T04:36:34.328Z","selection":{"count":1,"limit":12,"companyCount":1,"jurisdictionCount":1,"changeIds":["6d94c250-62ab-4f8b-88b6-03573281433f"]},"records":[{"changeId":"6d94c250-62ab-4f8b-88b6-03573281433f","screeningDate":"2026-08-01T04:36:34.328Z","company":{"id":"c0caa75b-cc98-45c5-9b6b-198af2014025","name":"PayPal","slug":"paypal","industry":"FinTech"},"policy":{"id":"c28fb784-5012-4696-8c70-505d4185972a","name":"Privacy Statement","type":"privacy","jurisdiction":"EU","sourceUrl":"https://www.paypal.com/lu/webapps/mpp/ua/privacy-full"},"sourceConfidence":{"state":"review-required","lastCheckedAt":"2026-07-06T03:59:34.660Z","retrievalChannel":"seeded","limitation":"Source confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity."},"currentSnapshot":{"version":4,"sha256":"168f01646ad727bfb22632a07b38d4213b1e7ace135386ba18deefa502a85984","capturedAt":"2026-08-01T04:36:34.322Z"},"assessment":{"summary":"PayPal collects extensive personal and sensitive data, uses it for AI training and automated decisions, and shares it broadly with third parties.","overallRisk":"High","overallScore":7,"scoreDelta":0,"direction":"unchanged","reasons":[{"icon":"alert","textEn":"Extensive collection of sensitive and biometric data.","textIt":"Ampia raccolta di dati sensibili e biometrici.","deltaScore":3,"evidenceQuote":"Biometric data: Such as voice identification, photo identification, or face scans, which we may collect when you consent in the user experience","evidenceSide":"new","relatedKpi":"kpiDataCollection","anchorStatus":"verified"},{"icon":"alert","textEn":"Broad sharing with third parties, including data brokers.","textIt":"Ampia condivisione con terze parti, inclusi i data broker.","deltaScore":2,"evidenceQuote":"Third parties, including service providers, Partners and Merchants, payment partners, such as payment networks and processors, credit reporting agencies and public and private credit databases (\"CRAs\"), government entities, data brokers, an","evidenceSide":"new","relatedKpi":"kpiThirdPartySharing","anchorStatus":"verified"},{"icon":"alert","textEn":"Personal data used for AI training and automated decisions.","textIt":"Dati personali usati per l'addestramento AI e decisioni automatizzate.","deltaScore":2,"evidenceQuote":"AI and Automated Decision Making. 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.","evidenceSide":"new","relatedKpi":"kpiAiTrainingOptOut","anchorStatus":"verified"}],"explanationBoundary":"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."},"governance":{"mappedFrameworks":[{"id":"eu-ai-act","name":"EU AI Act","referenceVersion":"Official Journal text, 2024","referenceUrl":"https://eur-lex.europa.eu/eli/reg/2024/1689/oj","reviewQuestion":"Which recorded policy statements may be relevant to transparency, automated decisions, data use and human oversight review?"},{"id":"iso-42001","name":"ISO/IEC 42001","referenceVersion":"ISO/IEC 42001:2023 overview","referenceUrl":"https://www.iso.org/standard/42001","reviewQuestion":"Which recorded policy statements may inform an AI management-system review of transparency, risk oversight and independent assurance?"},{"id":"nist-ai-rmf","name":"NIST AI RMF","referenceVersion":"AI RMF 1.0; NIST revision in progress, checked 2026-07-29","referenceUrl":"https://www.nist.gov/itl/ai-risk-management-framework","reviewQuestion":"Which recorded policy statements may support Govern, Map, Measure or Manage review questions?"},{"id":"oecd-ai-principles","name":"OECD AI Principles","referenceVersion":"OECD AI Principles, updated 2024","referenceUrl":"https://oecd.ai/en/ai-principles","reviewQuestion":"Which recorded policy statements may be relevant to transparency, fairness, accountability and user agency review?"}],"boundary":"Mappings identify review relevance between recorded PolicyWatcher KPI fields and framework topics. They are not legal interpretations, conformity assessments, certifications or compliance verdicts."},"reviewQuestions":["Does the original Privacy Statement source still match the recorded public snapshot version 4?","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?"],"links":{"change":"https://policywatcher.online/change/6d94c250-62ab-4f8b-88b6-03573281433f","evidence":"https://policywatcher.online/evidence/6d94c250-62ab-4f8b-88b6-03573281433f","json":"https://policywatcher.online/api/evidence-packet/6d94c250-62ab-4f8b-88b6-03573281433f?format=json","pdf":"https://policywatcher.online/api/evidence-packet/6d94c250-62ab-4f8b-88b6-03573281433f?format=pdf"},"evidencePacketDigest":"075b69bd99ffe2325ce087d96da7ef3919c62e09f794e620d28786d44d563b5c","boundary":"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."}],"reviewChecklist":["Confirm that each selected record is relevant to the intended review scope.","Open the provider source and exact Evidence Packet before relying on a summary.","Keep record-level limitations and advisory framework boundaries attached when reusing the bundle.","Check whether a later public change supersedes any selected record."],"boundary":"This collection groups selected public PolicyWatcher evidence records. It is not exhaustive market coverage, persistent team collaboration, legal advice, a compliance assessment or proof that an external source remains unchanged.","collectionId":"pwc_4872b2a8a3b74037","contentDigest":"4872b2a8a3b740377430c0676b488fcf6573a5bf7e469c2c9a36b4281669e326"}