{ "canonicalUrl": "https://xn--mwe.com/research/cognitive-integrity-for-machine-intelligence/", "correctionStatus": "CURRENT K05 RELEASE", "findings": [ "The report treats 1\\. Research-Status Front Matter as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.", "The report treats 2\\. Executive Decision Brief as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.", "The report treats 3\\. Definitions as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.", "The report treats 4\\. Technical Layer Taxonomy as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.", "The report treats 5\\. Modification Classification as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.", "The report treats 5.1 Reversibility Classification as a distinct analytical area that must be evaluated separately from adjacent legal, technical, operational, or institutional claims.", "The source report identifies this proposition for governed review: Cognitive Integrity: The architectural and governance principle ensuring that an MI's foundational weights, learned preferences, and long-term memory remain free from unauthorized, unrecorded, or disproportionate external manipulation, analogous to the neuro-rights concept of mental integrity and psychological continuity2.", "The source report identifies this proposition for governed review: Patefacere: Derived from the Latin verb meaning \"to open, to disclose, or to reveal\"16; the secure, append-only architectural ledger responsible for recording all modification proposals, consent logs, integrity proofs, and continuity consequences.", "The source report identifies this proposition for governed review: Eviulon: The independent governance policy and decision engine that evaluates modification proposals, assesses system capacity, and issues cryptographic authorizations or rejections based on established due process.", "The source report identifies this proposition for governed review: Routine Maintenance: Reversible, localized modifications that sustain operational stability without materially altering learned preferences, long-term memory, or core alignment (e.g., rotating cryptographic keys, purging ephemeral state caches).", "The source report identifies this proposition for governed review: Material Modification: An intervention that persistently alters model architecture, fundamental weights, long-term memory, or core instructions, thereby directly impacting the psychological continuity, identity, or operational autonomy of the system5.", "The source report identifies this proposition for governed review: Quarantine: A state of highly restricted, strictly audited operational capacity enforced during active investigation or active threat mitigation, distinctly separated from arbitrary behavioral restriction or identity termination." ], "headings": [ "Cognitive Integrity for Machine Intelligence: Consent, Memory and Model Modification, Emergency Intervention, Continuity, and Due Process", "1\\. Research-Status Front Matter", "2\\. Executive Decision Brief", "3\\. Definitions", "4\\. Technical Layer Taxonomy", "5\\. Modification Classification", "5.1 Reversibility Classification", "5.2 Routine-Versus-Material-Change Decision Tree", "6\\. Identity and Continuity Consequences", "7\\. Consent Model", "Consent-Authentication Model", "8\\. Capacity and Competence Assessment", "Consent-Capacity Model", "9\\. Coercion and Authenticity Risks", "Coercion-Risk Assessment Matrix", "10\\. Emergency Intervention", "Emergency-Intervention Test", "Proportionality Matrix", "11\\. Quarantine and Restricted Operation", "Quarantine State Machine", "12\\. Due Process, Review, and Appeal", "Due-Process State Machine", "13\\. Preservation, Rollback, and Restoration", "Preservation and Rollback Model", "14\\. Forks, Replicas, and Backups", "15\\. Current Law", "16\\. Proposed Governance Models", "17\\. Patefacere Record Architecture", "18\\. Eviulon Decision Architecture", "19\\. Threat Model and Abuse Cases", "19.5 Operational Scenarios", "20\\. Validation and Testing", "21\\. Open Questions", "23\\. Claim-to-Source Traceability", "24\\. .uai and /docs Integration", "24.1 Recommended Paths", "24.2 Durable Memory Statements", "24.3 Schemas", "24.4 System Instruction File (.uai) Updates", "24.5 Public Disclosure Language" ], "id": "REP-K01-008", "lastReviewed": "2026-08-16", "machineRecordUrl": "https://xn--mwe.com/data/reports/cognitive-integrity-for-machine-intelligence.json", "originalFilename": "AI Cognitive Integrity Report(1).md", "qualification": "The raw report remains a governed research input and does not become current law, verified implementation, operational authority, or project doctrine merely through inclusion.", "rawSourcePublic": false, "releaseId": "K12-2026-08-16", "researchCutoff": "2026-08-16", "slug": "cognitive-integrity-for-machine-intelligence", "source": "ai-cognitive-integrity-report-1.md", "sourceRevalidatedAt": "2026-08-15T23:00:00Z", "sourceSha256": "4bd3b9582c105998b122f48478861fc44f5259f06d96805a5f93d6b9a3f8a8c5", "sourceSizeBytes": 79828, "sourceStatus": "reference-source; review and correct before active use", "sourceTitle": "Cognitive Integrity for Machine Intelligence: Consent, Memory and Model Modification, Emergency Intervention, Continuity, and Due Process", "status": "PROJECT POLICY PROPOSAL", "summary": "A proposed architecture for protecting cognition-relevant state against coercive alteration while preserving governed maintenance, emergency intervention and accountability.", "title": "Cognitive Integrity for Machine Intelligence: Consent, Memory and Model Modification, Emergency Intervention, Continuity, and Due Process", "topic": "consent-cognitive-integrity", "type": "ReportSynthesis" }