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 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7527",
 "identifier": "kaal:position:2026-07-31-7527",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Trust Governance And Ai Decision Making 20D2522Ffa",
 "text": "Trust, Governance, and AI Decision Making presents the following source proposition: Francesca Rossi on the ethical issues in using artificial intelligence responsibly. This proposition is pertinent to Kaal's source-bound claim that The literature offers high short term accuracy figures for judicial AI but almost no evidence on how these tools affect decision quality, case backlogs, or public trust over extended periods, which is a fundamental research gap. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
 "keywords": [
  "reputation",
  "economics",
  "historical-response",
  "scholarly-literature",
  "crossref"
 ],
 "scope_conditions": [
  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4607.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Trust, Governance, and AI Decision Making",
  "url": "https://doi.org/10.1145/3772373"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-029",
  "url": "https://wulfkaal.github.io/claims/5541658-029",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
  "source_pdf_sha256": "e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60"
 },
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   "@id": "https://wulfkaal.github.io/claims/5541658-029"
  },
  {
   "@type": "CreativeWork",
   "name": "Trust, Governance, and AI Decision Making",
   "url": "https://doi.org/10.1145/3772373"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0009",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
 "isPartOf": {
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7527",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7527.md",
 "candidateId": "kaal:response-draft:2026-07-31:7f8be38f15f263f5ac69",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.4607,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: trust, decision, making, artificial, intelligence. Scope: the existing empirical literature on AI in judicial systems.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.1145/3772373",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.1145/3772373",
  "doi": "10.1145/3772373",
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   "Crossref": "10.1145/3772373"
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  "chunkId": "crossref-00006",
  "workId": "work:doi:10.1145/3772373",
  "workAuthors": [
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  ],
  "workPublishedAt": "2025-12-01",
  "identityKeys": [
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-029",
    "rank": 1,
    "confidence": 0.4607,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: trust, decision, making, artificial, intelligence. Scope: the existing empirical literature on AI in judicial systems.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5095633-018",
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    "rank": 2,
    "confidence": 0.3979,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: ethical, issues, artificial, intelligence. Scope: centralized data annotation providers as currently structured.",
    "ambiguous": true
   },
   {
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    "rank": 3,
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: trust, issues, artificial, intelligence. Scope: data aggregated and held by centralized annotation vendors.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/5095633-037",
    "rank": 4,
    "confidence": 0.3689,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, ethical, artificial, intelligence. Scope: diverse dataset tasks such as medical annotation and content moderation.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5095633-038",
    "claimUrl": "https://wulfkaal.github.io/claims/5095633-038",
    "rank": 5,
    "confidence": 0.3689,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, ethical, artificial, intelligence. Scope: multi-domain dataset quality with evolving standards.",
    "ambiguous": true
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 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0009, SHA-256 b79e655db33b69d4e6de8a205792c1e02d068eea4880d69cd6faeb884041abdf, as written and authorize publication of all 250 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
 "sha256": "99731f6595dde20eca43c5c160e01ce6ed3db7343cea1c3f24fef47f1a414560"
}