{"schema":"https://policywatcher.online/schemas/evidence-collection/v1","schemaVersion":"1.0.0","asOf":"2026-11-09T20:40:07.227Z","selection":{"count":1,"limit":12,"companyCount":1,"jurisdictionCount":1,"changeIds":["f79b51da-5300-447d-adfc-4a7e0a2ee2f9"]},"records":[{"changeId":"f79b51da-5300-447d-adfc-4a7e0a2ee2f9","screeningDate":"2026-11-09T20:40:07.227Z","company":{"id":"83da1ad9-8891-4372-a9db-bdf82c894d2a","name":"Anthropic","slug":"anthropic","industry":"Tech Giant"},"policy":{"id":"54ee97fb-bc87-41ff-837d-2a06184e99a5","name":"Acceptable Use Policy","type":"aup","jurisdiction":"Global","sourceUrl":"https://www.anthropic.com/legal/aup"},"sourceConfidence":{"state":"verified-retrieval","lastCheckedAt":"2026-11-09T20:40:07.213Z","retrievalChannel":"direct","limitation":"Source confidence describes recorded retrieval and publication state. It does not rate the provider policy or certify source authenticity."},"currentSnapshot":{"version":4,"sha256":"c2948cc1bc558ada3ca5192b7e3dd5e2ed318214ecfe7b50614197e3556d5a8e","capturedAt":"2026-11-09T20:40:07.213Z"},"assessment":{"summary":"Anthropic's Acceptable Use Policy has no significant changes, maintaining its strong stance against harmful AI uses and requiring human oversight for high-risk applications.","overallRisk":"Medium","overallScore":4,"scoreDelta":0,"direction":"unchanged","reasons":[{"icon":"info","textEn":"Extensive prohibitions on harmful AI use reduce overall risk.","textIt":"Le ampie proibizioni sull'uso dannoso dell'IA riducono il rischio complessivo.","deltaScore":2,"evidenceQuote":"Our Universal Usage Standards are prohibitions that apply to all users and use cases.","evidenceSide":"old","relatedKpi":"kpiRegulatoryCompliance","anchorStatus":"verified"},{"icon":"info","textEn":"Mandatory human-in-the-loop for high-risk AI recommendations enhances safety.","textIt":"Il controllo umano obbligatorio per le raccomandazioni AI ad alto rischio aumenta la sicurezza.","deltaScore":2,"evidenceQuote":"A qualified person must meaningfully review a High-risk AI Recommendation, with the authority to change or modify it, before it is delivered as advice to an individual who might rely on it or before it is used to implement a decision.","evidenceSide":"old","relatedKpi":"kpiAutomatedDecision","anchorStatus":"verified"},{"icon":"warning","textEn":"Lack of explicit user opt-out for input data training raises privacy concerns.","textIt":"La mancanza di un'opzione di opt-out esplicita per l'addestramento dei dati di input solleva preoccupazioni sulla privacy.","deltaScore":-1,"evidenceQuote":null,"evidenceSide":null,"relatedKpi":"kpiAiTrainingOptOut","anchorStatus":"not-recorded"}],"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 Acceptable Use Policy 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/f79b51da-5300-447d-adfc-4a7e0a2ee2f9","evidence":"https://policywatcher.online/evidence/f79b51da-5300-447d-adfc-4a7e0a2ee2f9","json":"https://policywatcher.online/api/evidence-packet/f79b51da-5300-447d-adfc-4a7e0a2ee2f9?format=json","pdf":"https://policywatcher.online/api/evidence-packet/f79b51da-5300-447d-adfc-4a7e0a2ee2f9?format=pdf"},"evidencePacketDigest":"02bb519abecca9ce8b532615ce08b33e248fad127f7d692ea68399e51b623bbc","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_99ff2bbf2a9b818d","contentDigest":"99ff2bbf2a9b818d81b3eb37e17ed15e721f02a78ac7506a99ff664c4b499b7e"}