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 "identifier": "kaal:position:2026-07-31-7181",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Artificial Intelligence For Adjudication D44C126985",
 "text": "Artificial Intelligence for Adjudication presents the following source proposition: What lessons can we draw from the SSA experience for AI in government? This proposition is pertinent to Kaal's source-bound claim that Keeping judges ultimately accountable through a human-in-the-loop review of AI generated reasoning, as practiced in Shenzhen, does not fully resolve the accountability problem in AI assisted adjudication. 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"
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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
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  "ai-and-agents",
  "law-and-legal-systems",
  "historical-response",
  "scholarly-literature",
  "crossref"
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 "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: 0.4093.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "name": "Artificial Intelligence for Adjudication",
  "url": "https://doi.org/10.1093/oxfordhb/9780197579329.013.46"
 },
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  "identifier": "kaal:claim:5541658-016",
  "url": "https://wulfkaal.github.io/claims/5541658-016",
  "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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   "@type": "CreativeWork",
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   "url": "https://doi.org/10.1093/oxfordhb/9780197579329.013.46"
  }
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 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
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 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
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 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: artificial, intelligence, adjudication. Scope: judicial settings where AI drafts or supports reasoning that a human judge then reviews.",
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  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
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  "workId": "work:doi:10.1093/oxfordhb/9780197579329.013.46",
  "workAuthors": [
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, adjudication. Scope: judicial settings where AI drafts or supports reasoning that a human judge then reviews.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: lessons, experience. Scope: applies to the ex post characterization of risk as excessive.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: draw, government. Scope: corporate wrongdoers self investigate and self report.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence. Scope: current national and international legal frameworks; autonomous AI acting without supervision.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: artificial, intelligence. Scope: current state of national and international law; damage caused by autonomous AI.",
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 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0008, SHA-256 469be3af77a43b8a86f52c2e8253882abdefc7a0da53c392329c3cb8a11e8160, 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.",
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