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 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7186",
 "identifier": "kaal:position:2026-07-31-7186",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Ai Driven Transformation In Public Governance 3743923C04",
 "text": "AI-Driven Transformation in Public Governance presents the following source proposition: Artificial intelligence (AI) and advanced digital technologies are transforming public governance, leading to Public Administration 5.0. This proposition is pertinent to Kaal's source-bound claim that Critics who dismiss artificial intelligence on boards as science fiction not worth engaging are wrong: AI on boards is a real prospect, and technologies such as blockchain-based smart contracts will both disrupt corporate governance and supply solutions to it. 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": [
  "ai-and-agents",
  "blockchain",
  "governance-design",
  "corporate-governance",
  "innovation",
  "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: 0.3842.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "AI-Driven Transformation in Public Governance",
  "url": "https://doi.org/10.4018/979-8-3693-9286-7.ch005"
 },
 "extends": {
  "identifier": "kaal:claim:2922176-034",
  "url": "https://wulfkaal.github.io/claims/2922176-034",
  "citation": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies (2017). SSRN: https://ssrn.com/abstract=2922176",
  "paper": "Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2017",
  "ssrn": "https://ssrn.com/abstract=2922176",
  "source_pdf_sha256": "fa4e986917d437cb1504281e7b986be2698e9507d8feaf426c9d7d1754ca882c"
 },
 "isBasedOn": [
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   "@id": "https://wulfkaal.github.io/claims/2922176-034"
  },
  {
   "@type": "CreativeWork",
   "name": "AI-Driven Transformation in Public Governance",
   "url": "https://doi.org/10.4018/979-8-3693-9286-7.ch005"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0008",
 "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/2026-07-31-7186",
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 "candidateId": "kaal:response-draft:2026-07-31:fe20d3efd377c013711c",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3842,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: driven, governance, artificial, intelligence, technologies. Scope: review source claim scope.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.4018/979-8-3693-9286-7.ch005",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.4018/979-8-3693-9286-7.ch005",
  "doi": "10.4018/979-8-3693-9286-7.ch005",
  "externalIds": {
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  "retrievedAt": "2026-07-31T20:33:41.048Z",
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  "workId": "work:doi:10.4018/979-8-3693-9286-7.ch005",
  "workAuthors": [
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: driven, governance, artificial, intelligence, technologies. Scope: review source claim scope.",
    "ambiguous": true
   },
   {
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-004",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: driven, artificial, intelligence, technologies. Scope: the 2010s wave of deep learning tools in legal practice.",
    "ambiguous": true
   },
   {
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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
   },
   {
    "claimId": "kaal:claim:5541658-035",
    "claimUrl": "https://wulfkaal.github.io/claims/5541658-035",
    "rank": 4,
    "confidence": 0.2962,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: artificial, intelligence, advanced. Scope: full automation of judicial processes as opposed to decision support.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5554218-028",
    "claimUrl": "https://wulfkaal.github.io/claims/5554218-028",
    "rank": 5,
    "confidence": 0.2919,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, artificial, intelligence, digital. Scope: AI models distributed globally over the internet; regulation by a single jurisdiction.",
    "ambiguous": true
   }
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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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}
