{
  "schemaVersion": "wsmusings.evidence-pilot.v1",
  "object": {
    "objectId": "k7:a9740b207405e659e26d",
    "objectType": "INTERSECTIONAL_THEME",
    "title": "Administrative Discretion & Accountability × Cross-System Compounding & Intersectional Amplification × Cumulative & Intergenerational Disadvantage × Data Classification & Measurement Fidelity × Remedy, Retaliation & Access to Redress × Spatial Segregation & Unequal Access × Unequal Resource Allocation & Public Investment",
    "route": "/research/objects/?group=k7%3Aa9740b207405e659e26d",
    "k": 7,
    "priority": "P1_CRITICAL_RESEARCH_QUEUE",
    "predecessorReadinessState": "NEEDS_LOCATOR",
    "predecessorEvidenceGaps": [
      "SOURCE_WITHOUT_LOCATOR",
      "INSUFFICIENT_CORROBORATION",
      "UNRESOLVED_MECHANISM"
    ]
  },
  "selectionReason": "One of exactly five P1 objects in the sealed v7.14 priority shard; no substitution or expansion.",
  "claim": {
    "claimId": "claim:v715:86457d6f3b68458b9833",
    "text": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
    "scope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
    "jurisdiction": "United States federal agencies",
    "applicablePopulation": "People affected by covered federal high-impact AI uses",
    "relevantTimePeriod": "2025-04-03/2026-08-24",
    "bounded": true,
    "atomic": true,
    "assessable": true,
    "advocacyLanguage": false,
    "unsupportedNumericPercentage": false,
    "authoringOrigin": "SYSTEM_DRAFT_FOR_AUTOMATED_ASSESSMENT"
  },
  "evidenceRecords": [
    {
      "evidenceRecordId": "evidence:v715:af320b2ca613835365ba",
      "researchObjectId": "k7:a9740b207405e659e26d",
      "claimId": "claim:v715:86457d6f3b68458b9833",
      "claimText": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
      "claimScope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
      "jurisdiction": "United States federal agencies",
      "applicablePopulation": "People affected by covered federal high-impact AI uses",
      "relevantTimePeriod": "2025-04-03/2026-08-24",
      "sourceId": "source:v715:54f32c42c8024082b790",
      "sourceTitle": "OMB Memorandum M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public Trust",
      "sourceAuthorOrIssuingAuthority": "Office of Management and Budget",
      "publisher": "Executive Office of the President",
      "sourceType": "OFFICIAL_POLICY",
      "canonicalUrl": "https://www.whitehouse.gov/wp-content/uploads/2025/02/M-25-21-Accelerating-Federal-Use-of-AI-through-Innovation-Governance-and-Public-Trust.pdf",
      "publicationDate": "2025-04-03",
      "accessDate": "2026-08-24",
      "exactLocatorType": "SECTION",
      "exactLocatorValue": "§ 4(b)(ii)–(vi), PDF pages 15–16",
      "atomicUrlRationale": "NOT_APPLICABLE",
      "extractOrParaphrase": "Paraphrase: agencies must conduct pre-deployment testing and AI impact assessments, provide human oversight, and offer appeal or deterministic evidence assessment where appropriate.",
      "quotationStatus": "PARAPHRASE",
      "evidenceDirection": "CONFIRMATORY",
      "applicability": "PARTIALLY_APPLICABLE",
      "currency": "CURRENT",
      "authorityAssessment": "PRIMARY_EXECUTIVE_BRANCH_POLICY",
      "methodologicalLimitation": "The memorandum governs covered federal agency uses and does not establish outcomes across all seven constituent issue domains.",
      "conflictOrContradictionStatus": "NO_MATERIAL_CONTRADICTION_IDENTIFIED_BY_AUTOMATED_PRECHECK",
      "counterevidenceLink": "LINKED_WITHIN_CLAIM_RECORD",
      "reviewerDisposition": "NOT_EVALUATED",
      "reconciliationState": "NOT_EVALUATED",
      "provenance": {
        "authoringOrigin": "SYSTEM_CURATED_FROM_PRIMARY_SOURCE",
        "sourceAccess": "PUBLIC_OFFICIAL_URL",
        "modelOutputUsedAsEvidence": false,
        "automatedAssessmentPerformed": false
      },
      "createdAt": "2026-08-24T00:00:00Z",
      "updatedAt": "2026-08-24T00:00:00Z",
      "schemaVersion": "wsmusings.evidence-pilot.v1"
    },
    {
      "evidenceRecordId": "evidence:v715:668905a82b47edde2675",
      "researchObjectId": "k7:a9740b207405e659e26d",
      "claimId": "claim:v715:86457d6f3b68458b9833",
      "claimText": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
      "claimScope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
      "jurisdiction": "United States federal agencies",
      "applicablePopulation": "People affected by covered federal high-impact AI uses",
      "relevantTimePeriod": "2025-04-03/2026-08-24",
      "sourceId": "source:v715:57665197bd1d74435840",
      "sourceTitle": "Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1",
      "sourceAuthorOrIssuingAuthority": "National Institute of Standards and Technology",
      "publisher": "NIST",
      "sourceType": "OFFICIAL_FRAMEWORK",
      "canonicalUrl": "https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10",
      "publicationDate": "2023-01-26",
      "accessDate": "2026-08-24",
      "exactLocatorType": "SECTION",
      "exactLocatorValue": "NIST AI 100-1, Executive Summary and Framework scope",
      "atomicUrlRationale": "NOT_APPLICABLE",
      "extractOrParaphrase": "Paraphrase: the AI RMF supplies a voluntary, rights-preserving risk-management framework; its voluntary and use-case-agnostic nature limits claims of implementation or cross-system effect.",
      "quotationStatus": "PARAPHRASE",
      "evidenceDirection": "CONTEXT_ONLY",
      "applicability": "PARTIALLY_APPLICABLE",
      "currency": "CURRENT",
      "authorityAssessment": "AUTHORITATIVE_VOLUNTARY_FEDERAL_FRAMEWORK",
      "methodologicalLimitation": "The framework is voluntary, use-case agnostic, and does not itself demonstrate implementation or outcomes.",
      "conflictOrContradictionStatus": "NO_MATERIAL_CONTRADICTION_IDENTIFIED_BY_AUTOMATED_PRECHECK",
      "counterevidenceLink": "LINKED_WITHIN_CLAIM_RECORD",
      "reviewerDisposition": "NOT_EVALUATED",
      "reconciliationState": "NOT_EVALUATED",
      "provenance": {
        "authoringOrigin": "SYSTEM_CURATED_FROM_PRIMARY_SOURCE",
        "sourceAccess": "PUBLIC_OFFICIAL_URL",
        "modelOutputUsedAsEvidence": false,
        "automatedAssessmentPerformed": false
      },
      "createdAt": "2026-08-24T00:00:00Z",
      "updatedAt": "2026-08-24T00:00:00Z",
      "schemaVersion": "wsmusings.evidence-pilot.v1"
    },
    {
      "evidenceRecordId": "evidence:v715:61fe3208e6da896b402f",
      "researchObjectId": "k7:a9740b207405e659e26d",
      "claimId": "claim:v715:86457d6f3b68458b9833",
      "claimText": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
      "claimScope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established.",
      "jurisdiction": "United States federal agencies",
      "applicablePopulation": "People affected by covered federal high-impact AI uses",
      "relevantTimePeriod": "2025-04-03/2026-08-24",
      "sourceId": "NO_MATCH",
      "sourceTitle": "NO_MATCH — bounded official-source search",
      "sourceAuthorOrIssuingAuthority": "NOT_APPLICABLE",
      "publisher": "NOT_APPLICABLE",
      "sourceType": "SEARCH_ATTEMPT",
      "canonicalUrl": "NOT_APPLICABLE",
      "publicationDate": "NOT_APPLICABLE",
      "accessDate": "2026-08-24",
      "exactLocatorType": "NOT_APPLICABLE",
      "exactLocatorValue": "NOT_APPLICABLE",
      "atomicUrlRationale": "NOT_APPLICABLE",
      "extractOrParaphrase": "No qualifying source was found in the bounded official-source search that directly tests the full seven-way constituent interaction represented by this K7 object.",
      "quotationStatus": "PARAPHRASE",
      "evidenceDirection": "NO_MATCH",
      "applicability": "NOT_APPLICABLE",
      "currency": "NOT_ASSESSED",
      "authorityAssessment": "NOT_APPLICABLE",
      "methodologicalLimitation": "This bounded pilot search excluded subscription databases and is not a systematic literature review.",
      "conflictOrContradictionStatus": "NO_MATCH_IS_NOT_DISCONFIRMATION",
      "counterevidenceLink": "LINKED_WITHIN_CLAIM_RECORD",
      "reviewerDisposition": "NOT_EVALUATED",
      "reconciliationState": "NOT_EVALUATED",
      "provenance": {
        "authoringOrigin": "SYSTEM_CURATED_FROM_PRIMARY_SOURCE",
        "sourceAccess": "PUBLIC_OFFICIAL_URL",
        "modelOutputUsedAsEvidence": false,
        "automatedAssessmentPerformed": false
      },
      "createdAt": "2026-08-24T00:00:00Z",
      "updatedAt": "2026-08-24T00:00:00Z",
      "schemaVersion": "wsmusings.evidence-pilot.v1",
      "searchAttempt": {
        "searchDate": "2026-08-24",
        "searchScope": "Current official U.S. federal AI governance and risk-management materials",
        "searchStrategy": "Searched for direct evidence testing the full seven-issue interaction, not merely individual controls or pairwise associations.",
        "sourceClassesExamined": [
          "OFFICIAL_POLICY",
          "OFFICIAL_FRAMEWORK"
        ],
        "limitations": "This bounded pilot search excluded subscription databases and is not a systematic literature review.",
        "anotherSearchWarranted": true
      }
    }
  ],
  "relationshipAdjudication": {
    "unresolvedAffectingObject": 0,
    "resolved": 0,
    "status": "NO_UNRESOLVED_RELATIONSHIP_TYPE_IN_V714_PACKET",
    "controlledValue": "NOT_APPLICABLE",
    "basis": "Sealed v7.14 signalComponents.unresolvedRelationshipTypes equals 0.",
    "sourceIds": [],
    "reviewerState": "SYSTEM_PRECHECK_NOT_HUMAN",
    "limitations": "No substantive relationship-type finding was made."
  },
  "mechanismAdjudication": {
    "unresolvedAffectingObject": 1,
    "resolved": 0,
    "status": "UNRESOLVED_AUTOMATED_ASSESSMENT_REQUIRED",
    "controlledValue": "UNKNOWN",
    "basis": "Official sources address bounded controls or legal rules but do not establish the intersectional mechanism.",
    "sourceIds": [
      "source:v715:54f32c42c8024082b790",
      "source:v715:57665197bd1d74435840"
    ],
    "reviewerState": "SYSTEM_PRECHECK_NOT_HUMAN",
    "limitations": "Computational closeness and priority do not establish mechanism or causation."
  },
  "critic": {
    "stage": "AUTOMATED_PRECHECK_COMPLETE_SECONDARY_CRITIC_PENDING",
    "authoringOrigin": "SYSTEM_DERIVED",
    "evidenceAssessor": false,
    "checks": {
      "overbreadth": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "sourceApplicability": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "sourceCurrency": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "sourceIndependence": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "locatorSufficiency": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "conflictingEvidence": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "alternativeExplanations": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "causalOverstatement": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "populationOrJurisdictionMismatch": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "unsupportedGeneralization": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      },
      "missingLimitations": {
        "status": "REQUIRES_AUTOMATED_ASSESSMENT",
        "note": "Mechanical completeness check passed; substantive judgment was not performed."
      }
    },
    "disposition": "NOT_EVALUATED",
    "allowedReconciliationStates": [
      "ACCEPTED_WITH_LIMITATIONS",
      "REVISE_CLAIM",
      "MORE_EVIDENCE_REQUIRED",
      "CONFLICT_UNRESOLVED",
      "REJECTED",
      "NOT_EVALUATED"
    ]
  },
  "reconciliation": {
    "state": "NOT_EVALUATED",
    "evidenceAssessor": false,
    "note": "Automated precheck cannot select a substantive reconciliation disposition."
  },
  "maturity": {
    "publicationStatus": "NOT_ELIGIBLE",
    "evidenceStatus": "EVIDENCE_ASSIGNED_AWAITING_AUTOMATED_ASSESSMENT",
    "reviewStatus": "NOT_EVALUATED",
    "corroborationStatus": "NOT_CORROBORATED",
    "verificationStatus": "NOT_VERIFIED",
    "researchMaturity": "READY_FOR_AUTOMATED_ASSESSMENT",
    "candidatePlacementIsApproval": false
  },
  "publicationGate": {
    "eligible": false,
    "blockers": [
      "CRITIC_AUTOMATED_ASSESSMENT_INCOMPLETE",
      "RECONCILIATION_INCOMPLETE",
      "REQUIRED_AUTOMATED_ASSESSMENT_ABSENT",
      "UNRESOLVED_REQUIRED_MECHANISM",
      "SUBSET_EVIDENCE_INCOMPLETE"
    ],
    "authorizationToPublish": false
  },
  "provenance": {
    "predecessorCommit": "5a8301fffed3d3e0326e6dfddd44d968c8b5516c",
    "predecessorTree": "4df502a55c6d9473937e18192b7adf0133d113da",
    "buildScript": "tools/build_v715_evidence_pilot.js",
    "generatedAt": "2026-08-24T00:00:00Z",
    "automatedAssessmentPerformed": false
  }
}
