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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Reimagining Corporate Governance In The Ai Era Law Legitimacy And Algori 70Cd6F66C4",
 "text": "Reimagining corporate governance in the AI era: Law, legitimacy and algorithmic power presents the following source proposition: The rapid integration of artificial intelligence (AI), particularly generative AI and large language models, intensifies these challenges by reshaping corporate decision-making, compliance and accountability. This proposition is pertinent to Kaal's source-bound claim that Decentralized data production will succeed only if it solves fraudulent submissions, content moderation, and alignment with ethical and legal frameworks; these are necessary conditions, not incidental risks. 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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 "dateModified": "2026-07-31",
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  "compliance",
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  "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: 0.4031.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "name": "Reimagining corporate governance in the AI era: Law, legitimacy and algorithmic power",
  "url": "https://doi.org/10.1017/cfl.2026.10051"
 },
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  "identifier": "kaal:claim:5095633-008",
  "url": "https://wulfkaal.github.io/claims/5095633-008",
  "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
  "paper": "Wulf A. Kaal, Artificial Intelligence The Final Frontier",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5095633",
  "source_pdf_sha256": "cbb484711f89bcefc9fc6a5730a1ed0a3f764d7999ad9b6f7d8ea05634c26c63"
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   "name": "Reimagining corporate governance in the AI era: Law, legitimacy and algorithmic power",
   "url": "https://doi.org/10.1017/cfl.2026.10051"
  }
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 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: law, artificial, intelligence, challenges, compliance. Scope: review source claim scope.",
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  "queryText": "AI agent governance",
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  "workAuthors": [
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    "whyRelevant": "Shared high-information concepts: law, artificial, intelligence, challenges, compliance. Scope: review source claim scope.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: corporate, governance, decision, making, compliance. Scope: corporations large enough to trigger employee representation on the supervisory board; employee representatives may also carry union political objectives.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: corporate, 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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    "whyRelevant": "Shared high-information concepts: corporate, governance, artificial, intelligence. Scope: review source claim scope.",
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    "whyRelevant": "Shared high-information concepts: governance, artificial, intelligence, compliance. Scope: jurisdictions with GDPR-style data protection mandates.",
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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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