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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7417",
 "identifier": "kaal:position:2026-07-31-7417",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming The Algorithmic Boardroom Ai Driven Governance And Strategic Decision Ma 9F605Ca681",
 "text": "The Algorithmic Boardroom: AI-Driven Governance and Strategic Decision Making presents the following source proposition: Artificial Intelligence (AI) has seen a boost in a couple of years. This proposition is pertinent to Kaal's source-bound claim that Benchmark results for legal LLMs may overstate capability because of data contamination: if a model saw a benchmark's ground truth answers during training, its measured performance reflects memorization rather than genuine generalization. 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": [
  "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: 0.38.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "The Algorithmic Boardroom: AI-Driven Governance and Strategic Decision Making",
  "url": "https://doi.org/10.46697/001c.157710"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-032",
  "url": "https://wulfkaal.github.io/claims/5541658-032",
  "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/5541658-032"
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  {
   "@type": "CreativeWork",
   "name": "The Algorithmic Boardroom: AI-Driven Governance and Strategic Decision Making",
   "url": "https://doi.org/10.46697/001c.157710"
  }
 ],
 "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.",
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 "candidateId": "kaal:response-draft:2026-07-31:910d4af8d07689cbbbb4",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.38,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: making, artificial, intelligence, has, seen. Scope: closed source LLMs evaluated on public benchmarks.",
 "sourceProvenance": {
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  "sourceRecordId": "10.46697/001c.157710",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
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  "doi": "10.46697/001c.157710",
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  "workId": "work:doi:10.46697/001c.157710",
  "workAuthors": [
   "Ch. Mahmood Anwar"
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-032",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: making, artificial, intelligence, has, seen. Scope: closed source LLMs evaluated on public benchmarks.",
    "ambiguous": true
   },
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    "rank": 2,
    "confidence": 0.3104,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: decision, making, artificial, intelligence. Scope: the existing empirical literature on AI in judicial systems.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/2922176-033",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: driven, governance, artificial, intelligence. Scope: extrapolated from the appointment of the algorithm Vital at Deep Knowledge Ventures and Alicia T at Tieto.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/2922176-034",
    "rank": 4,
    "confidence": 0.2905,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: driven, governance, artificial, intelligence. Scope: review source claim scope.",
    "ambiguous": true
   },
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    "claimId": "kaal:claim:5541658-021",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: algorithmic, artificial, intelligence. Scope: annotation tasks labelling court opinions for legally relevant factors; studies of lawyers' preferences between human and LLM authored documents.",
    "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.",
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