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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Framework For Fair Use Of Artificial Intelligence In Public Governance A2F1829716",
 "text": "Framework for Fair Use of Artificial Intelligence in Public Governance presents the following source proposition: The platform is an important pillar of public sector efficiency, accountability, and transparency. This proposition is pertinent to Kaal's source-bound claim that DAO-based governance introduces unresolved uncertainty about liability and legal accountability when personal data crosses international boundaries, and a mismatch between platform governance and regulatory mandates produces legal liability that erodes user trust. 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": {
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "dateModified": "2026-07-31",
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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: 0.4077.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "name": "Framework for Fair Use of Artificial Intelligence in Public Governance",
  "url": "https://doi.org/10.1093/9780198945215.003.0189"
 },
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  "url": "https://wulfkaal.github.io/claims/5095633-029",
  "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"
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  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5095633",
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   "url": "https://doi.org/10.1093/9780198945215.003.0189"
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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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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: artificial, intelligence, governance, platform, accountability. Scope: cross-border exchange of personal data; GDPR-style regulatory regimes.",
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  "workAuthors": [
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    "whyRelevant": "Shared high-information concepts: artificial, intelligence, governance, platform, accountability. Scope: cross-border exchange of personal data; GDPR-style regulatory regimes.",
    "ambiguous": true
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   {
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    "whyRelevant": "Shared high-information concepts: framework, artificial, intelligence, governance. Scope: multi-domain dataset quality with evolving standards.",
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    "whyRelevant": "Shared high-information concepts: framework, artificial, intelligence, governance. Scope: review source claim scope.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: framework, artificial, intelligence, governance. Scope: applies to recent artificial-intelligence statutes.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: artificial, intelligence, accountability. Scope: judicial settings where AI drafts or supports reasoning that a human judge then reviews.",
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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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