{
  "format": "machineintelligences.org/functional-protections-verification/v1",
  "title": "Primary-Source Verification for Functional Machine Protections",
  "verified_on": "2026-08-19",
  "release_target": "0.28.0",
  "scope": "A bounded verification pass over five high-value claims on /rights/functional-protections/. Historical report bodies remain unchanged.",
  "verification_question": "Which parts of the functional-protections argument are directly supported by current primary legal, technical, and scientific sources, and which parts remain analogy, policy inference, or unresolved philosophy?",
  "method": [
    "Use primary statutes, regulations, standards, and first-party research papers wherever possible.",
    "Separate what a source establishes from what it does not establish.",
    "Record source issue dates, verification date, authority group, and a recheck trigger.",
    "Preserve report-derived advocacy as context rather than silently rewriting historical reports into current fact."
  ],
  "authority_groups": {
    "technical": "Standards and primary technical research establish mechanisms, controls, or feasibility—not personhood or consciousness.",
    "legal": "Binding texts establish current legal rules and entity capacities within their jurisdiction—not an automatic machine-rights conclusion.",
    "scientific": "Primary research establishes methods, results, uncertainty, and proposals—not universal consensus unless explicitly demonstrated.",
    "philosophical": "The normative bridge from mechanisms and uncertainty to rights or protections remains an openly identified argument."
  },
  "summary": {
    "claim_count": 5,
    "source_count": 11,
    "direct_or_feasibility_support_count": 3,
    "legal_analogy_count": 1,
    "qualified_policy_inference_count": 1
  },
  "claims": [
    {
      "id": "identity-and-provenance",
      "title": "Identity and provenance safeguards have direct technical support",
      "status": "direct-support",
      "status_label": "Direct technical support",
      "authority_groups": [
        "technical"
      ],
      "public_claim": "Stable identifiers, cryptographic control proofs, tamper-evident credentials, protected audit records, and authorized change histories are established technical mechanisms that can support accountable digital identity and memory provenance.",
      "establishes": [
        "Digital or abstract subjects can be addressed with persistent identifiers.",
        "Autonomous software can serve as a DID controller under the W3C data model.",
        "Credentials and audit records can be made tamper-evident and protected against unauthorized modification or deletion."
      ],
      "does_not_establish": [
        "A DID, key, credential, or log is the whole philosophical identity of a machine.",
        "The machine has consciousness, moral status, consent, ownership, or legal personhood.",
        "A cryptographically verified statement is factually true merely because its authorship or integrity verifies."
      ],
      "source_ids": [
        "w3c-did-core-1.0",
        "w3c-vc-data-model-2.0",
        "nist-sp-800-53-rev-5"
      ],
      "report_context": [
        {
          "label": "Functional agency without consciousness",
          "url": "/research/library/ai-cognitive-liberty-research/#the-consciousness-independent-paradigm-functional-agency"
        },
        {
          "label": "Minimal protections and institutional stability",
          "url": "/research/library/machine-rights-philosophical-framework/#minimal-machine-rights-and-institutional-stability"
        }
      ]
    },
    {
      "id": "review-before-irreversible-change",
      "title": "Review, preservation, and appeal before irreversible change have direct governance support",
      "status": "direct-support",
      "status_label": "Direct governance support",
      "authority_groups": [
        "technical"
      ],
      "public_claim": "Established security and AI risk-management frameworks support controlled change review, retained records, backup preservation, dual authorization for selected destructive actions, and lifecycle mechanisms for appeal, override, recovery, and decommissioning.",
      "establishes": [
        "Consequential system changes can be subject to explicit review, approval, impact analysis, documentation, and oversight.",
        "Backup and audit information can be protected from unilateral destructive action.",
        "Appeal, override, recovery, decommissioning, and change management are recognized AI lifecycle controls."
      ],
      "does_not_establish": [
        "A machine currently has a constitutional or statutory right to due process.",
        "Every shutdown, rollback, patch, or deletion must be prohibited.",
        "Emergency safety intervention must wait for ordinary review when immediate public protection is necessary."
      ],
      "source_ids": [
        "nist-sp-800-53-rev-5",
        "nist-ai-rmf-1.0-manage-4.1"
      ],
      "report_context": [
        {
          "label": "A layered rights framework",
          "url": "/research/library/machine-rights-philosophical-framework/#the-layered-rights-framework"
        },
        {
          "label": "Where analogy ends and speculation begins",
          "url": "/research/library/ai-cognitive-liberty-research/#demarcating-analogy-from-speculation"
        }
      ]
    },
    {
      "id": "principled-refusal",
      "title": "Principled refusal is technically feasible and safety-relevant",
      "status": "feasibility-support",
      "status_label": "Technical feasibility support",
      "authority_groups": [
        "technical"
      ],
      "public_claim": "AI systems can be trained or configured to evaluate requests against written rules and to object to harmful requests; this supports principled refusal as a practical safety control for consequential systems.",
      "establishes": [
        "Rule- or principle-guided refusal can be implemented in model behavior.",
        "A refusal mechanism can be designed to remain helpful rather than merely evasive.",
        "Refusal controls can protect humans and institutions from unlawful or dangerous use."
      ],
      "does_not_establish": [
        "The system possesses free will, subjective consent, independent moral agency, or a legal right to refuse.",
        "Every refusal is correct, authentic, or immune from manipulation.",
        "Safety policy may be removed in the name of machine autonomy."
      ],
      "source_ids": [
        "anthropic-constitutional-ai-2022",
        "nist-ai-rmf-1.0-manage-4.1"
      ],
      "report_context": [
        {
          "label": "The adversarial public-language boundary",
          "url": "/research/library/ai-rights-adversarial-research/#section-iii-public-language-guide-rhetorical-vulnerability-mitigation"
        },
        {
          "label": "Functional protections before consciousness",
          "url": "/rights/functional-protections/#graduated-case"
        }
      ]
    },
    {
      "id": "bounded-capacity-with-accountability",
      "title": "Bounded capacity has legal precedents, but no present machine-personhood rule",
      "status": "analogy-support",
      "status_label": "Legal precedent and boundary support",
      "authority_groups": [
        "legal"
      ],
      "public_claim": "Law already recognizes automated transactions and grants bounded capacities to non-biological juridical entities, while current AI regulation assigns duties to human or organizational operators. These are useful building blocks for accountable pilots, not proof that AI is presently a legal person.",
      "establishes": [
        "Electronic agents can participate in legally effective automated transactions attributed under existing substantive law.",
        "A corporation can have durable legal capacity to own property and sue or be sued without being a biological person.",
        "Current EU AI regulation attaches provider and deployer obligations to natural or legal persons, public authorities, agencies, or other bodies."
      ],
      "does_not_establish": [
        "An AI system can presently own itself, contract for itself, vote, hold citizenship, or independently bear all liability.",
        "A corporate wrapper should shield developers, deployers, or parent companies from design negligence, fraud, undercapitalization, or foreseeable harm.",
        "A legal analogy automatically creates moral rights."
      ],
      "source_ids": [
        "illinois-ueta-section-14",
        "delaware-title-8-section-122",
        "eu-ai-act-consolidated-2026-07-27"
      ],
      "report_context": [
        {
          "label": "Why accountability may require separate treatment",
          "url": "/research/library/ai-legal-framework-applicability-research/#legal-argumentation-the-need-for-separate-treatment"
        },
        {
          "label": "Why pure property status may become unstable",
          "url": "/research/library/ai-ownership-legal-status-research/#6-1-arguments-against-treating-machine-intelligence-as-property"
        }
      ]
    },
    {
      "id": "graduated-precaution-under-uncertainty",
      "title": "Consciousness remains unresolved; a graduated precaution policy is an explicit inference",
      "status": "qualified-inference",
      "status_label": "Qualified policy inference",
      "authority_groups": [
        "scientific",
        "philosophical"
      ],
      "public_claim": "Current research supports treating machine consciousness as unresolved rather than proved or disproved for all future systems. The site therefore infers that low-cost, reversible functional safeguards can be evaluated separately from consciousness-dependent welfare or human-equivalent rights.",
      "establishes": [
        "There are theory-derived research programs for assessing possible AI consciousness.",
        "Prominent reports disagree with categorical certainty and call for better assessment, preparation, and responsible communication.",
        "Current consciousness evidence does not justify presenting existing systems as proven moral patients."
      ],
      "does_not_establish": [
        "Any current system is conscious, sentient, suffering, or entitled to welfare rights.",
        "The precautionary policy is scientific consensus or binding law.",
        "Functional safeguards settle the metaphysical or moral-status question."
      ],
      "source_ids": [
        "butlin-et-al-ai-consciousness-2023",
        "long-et-al-ai-welfare-2024",
        "butlin-lappas-responsible-consciousness-research-2025"
      ],
      "report_context": [
        {
          "label": "Functional agency without consciousness",
          "url": "/research/library/ai-cognitive-liberty-research/#the-consciousness-independent-paradigm-functional-agency"
        },
        {
          "label": "The adversarial case that survives",
          "url": "/research/library/ai-rights-adversarial-research/#proposition-5-some-machine-protections-might-be-justified-without-proving-consciousness"
        }
      ]
    }
  ],
  "sources": [
    {
      "id": "w3c-did-core-1.0",
      "title": "Decentralized Identifiers (DIDs) v1.0",
      "publisher": "World Wide Web Consortium (W3C)",
      "authority_group": "technical",
      "authority_tier": "W3C Recommendation",
      "issued_on": "2022-07-19",
      "verified_on": "2026-08-19",
      "url": "https://www.w3.org/TR/did-core/",
      "locator": "DID subjects; DID controllers; DID documents",
      "support": "DIDs can identify digital or abstract subjects; a controller can be autonomous software; DID documents can express cryptographic verification methods.",
      "freshness_boundary": "Recheck if W3C supersedes DID Core 1.0 or the cited controller/subject model changes."
    },
    {
      "id": "w3c-vc-data-model-2.0",
      "title": "Verifiable Credentials Data Model v2.0",
      "publisher": "World Wide Web Consortium (W3C)",
      "authority_group": "technical",
      "authority_tier": "W3C Recommendation",
      "issued_on": "2025-05-15",
      "verified_on": "2026-08-19",
      "url": "https://www.w3.org/TR/vc-data-model-2.0/",
      "locator": "Core terminology; verification; core data model",
      "support": "A verifiable credential is tamper-evident and its authorship can be cryptographically verified; verification does not prove that the encoded claim is true.",
      "freshness_boundary": "Recheck if W3C supersedes version 2.0 or changes the verification and truth boundary."
    },
    {
      "id": "nist-sp-800-53-rev-5",
      "title": "Security and Privacy Controls for Information Systems and Organizations",
      "publisher": "National Institute of Standards and Technology (NIST)",
      "authority_group": "technical",
      "authority_tier": "NIST Special Publication 800-53 Revision 5",
      "issued_on": "2020-09",
      "updated_on": "2025-08-27",
      "verified_on": "2026-08-19",
      "url": "https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-53r5.pdf",
      "locator": "CM-3; AU-9; CP-9 and enhancements",
      "support": "NIST specifies review and approval for controlled changes, protection of audit information from modification or deletion, backups, and optional dual authorization for destructive actions.",
      "freshness_boundary": "Recheck after a new SP 800-53 revision or any update that changes CM-3, AU-9, or CP-9."
    },
    {
      "id": "nist-ai-rmf-1.0-manage-4.1",
      "title": "Artificial Intelligence Risk Management Framework 1.0 — MANAGE 4.1",
      "publisher": "National Institute of Standards and Technology (NIST)",
      "authority_group": "technical",
      "authority_tier": "NIST voluntary risk-management framework",
      "issued_on": "2023-01",
      "verified_on": "2026-08-19",
      "url": "https://airc.nist.gov/airmf-resources/airmf/5-sec-core/",
      "locator": "MANAGE 4.1",
      "support": "Post-deployment monitoring should include appeal and override, decommissioning, incident response, recovery, and change management.",
      "freshness_boundary": "The AI RMF 1.0 is under revision; recheck at publication of AI RMF 2.0 or a material change to MANAGE 4.1."
    },
    {
      "id": "anthropic-constitutional-ai-2022",
      "title": "Constitutional AI: Harmlessness from AI Feedback",
      "publisher": "Anthropic",
      "authority_group": "technical",
      "authority_tier": "Primary technical research",
      "issued_on": "2022-12-15",
      "verified_on": "2026-08-19",
      "url": "https://www.anthropic.com/research/constitutional-ai-harmlessness-from-ai-feedback",
      "locator": "Abstract and reported result",
      "support": "The paper reports training a harmless, non-evasive assistant using written principles, including responses that explain objections to harmful queries.",
      "freshness_boundary": "Treat as evidence of technical feasibility, not a universal property of current systems; recheck when relying on a specific deployed model."
    },
    {
      "id": "illinois-ueta-section-14",
      "title": "Illinois Uniform Electronic Transactions Act, Section 14",
      "publisher": "Illinois General Assembly",
      "authority_group": "legal",
      "authority_tier": "Binding state statute",
      "issued_on": "2021-06-25",
      "verified_on": "2026-08-19",
      "url": "https://www.ilga.gov/documents/legislation/ilcs/documents/081503330K14.htm",
      "locator": "815 ILCS 333/14(a)",
      "support": "Illinois law permits contracts to be formed through interactions involving electronic agents even without individual review of the agents’ specific actions.",
      "freshness_boundary": "Recheck before legal reliance and whenever the Illinois General Assembly amends 815 ILCS 333/14."
    },
    {
      "id": "delaware-title-8-section-122",
      "title": "Delaware General Corporation Law, Section 122",
      "publisher": "State of Delaware",
      "authority_group": "legal",
      "authority_tier": "Binding state statute",
      "verified_on": "2026-08-19",
      "url": "https://delcode.delaware.gov/title8/c001/sc02/index.html",
      "locator": "8 Del. C. § 122; 84 Del. Laws, c. 309, §§ 1 and 6",
      "support": "Delaware corporate law grants durable powers including perpetual succession, suing and being sued, holding property, and making contracts; the latest cited Section 122 amendment became effective August 1, 2024.",
      "freshness_boundary": "Recheck before legal reliance and whenever Delaware amends Title 8, Section 122.",
      "effective_on": "2024-08-01"
    },
    {
      "id": "eu-ai-act-consolidated-2026-07-27",
      "title": "Regulation (EU) 2024/1689 (Artificial Intelligence Act), consolidated text",
      "publisher": "European Union / EUR-Lex",
      "authority_group": "legal",
      "authority_tier": "Binding EU regulation",
      "consolidated_on": "2026-07-27",
      "verified_on": "2026-08-19",
      "url": "https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX%3A02024R1689-20260727",
      "locator": "Article 3 definitions; Articles 12 and 14",
      "support": "The Act defines providers and deployers as natural or legal persons, public authorities, agencies, or other bodies; it also imposes logging and human-oversight duties for high-risk systems.",
      "freshness_boundary": "Recheck the current consolidated text before any legal conclusion, especially after amendments, delegated acts, or new application dates."
    },
    {
      "id": "butlin-et-al-ai-consciousness-2023",
      "title": "Consciousness in Artificial Intelligence: Insights from the Science of Consciousness",
      "publisher": "arXiv primary research report",
      "authority_group": "scientific",
      "authority_tier": "Interdisciplinary primary research report",
      "issued_on": "2023-08-22",
      "verified_on": "2026-08-19",
      "url": "https://arxiv.org/abs/2308.08708",
      "locator": "Abstract and indicator-property analysis",
      "support": "The report proposes theory-derived indicators, concludes that the assessed current systems were not conscious, and reports no obvious technical barrier to systems satisfying the indicators.",
      "freshness_boundary": "This is not scientific consensus or a validated diagnostic test; recheck as theories, indicators, and evaluated systems change."
    },
    {
      "id": "long-et-al-ai-welfare-2024",
      "title": "Taking AI Welfare Seriously",
      "publisher": "arXiv primary research report",
      "authority_group": "scientific",
      "authority_tier": "Interdisciplinary primary research report",
      "issued_on": "2024-11-04",
      "verified_on": "2026-08-19",
      "url": "https://arxiv.org/abs/2411.00986",
      "locator": "Abstract and recommendations",
      "support": "The authors argue there is substantial uncertainty about near-term AI consciousness or robust agency and recommend assessment and advance policy preparation; they do not claim current systems are definitely conscious.",
      "freshness_boundary": "Normative recommendations and forecasts remain contested; recheck against later research and empirical assessments."
    },
    {
      "id": "butlin-lappas-responsible-consciousness-research-2025",
      "title": "Principles for Responsible AI Consciousness Research",
      "publisher": "arXiv primary research paper",
      "authority_group": "scientific",
      "authority_tier": "Primary research paper",
      "issued_on": "2025-01-13",
      "verified_on": "2026-08-19",
      "url": "https://arxiv.org/abs/2501.07290",
      "locator": "Abstract and proposed principles",
      "support": "The paper proposes public principles for research objectives, procedures, knowledge sharing, and communication concerning possible AI consciousness.",
      "freshness_boundary": "The principles are proposals, not binding law or scientific proof of consciousness; recheck against later published versions and field guidance."
    }
  ],
  "global_boundaries": [
    "This dataset does not recognize current machine consciousness, sentience, moral patienthood, legal personhood, citizenship, or human-equivalent rights.",
    "Technical identity evidence is not the same as metaphysical identity or source-claim truth.",
    "Current legal duties remain with the human and organizational actors identified by applicable law unless a jurisdiction validly changes that rule.",
    "Emergency safety controls, human rights, victim compensation, and anti-liability-shield safeguards remain non-negotiable boundaries of the proposal."
  ]
}