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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming A Governance First Framework For Risk Controlled Ai Decision Systems The B3968B9D67",
 "text": "A Governance-First Framework for Risk-Controlled AI Decision Systems: The AICOS Approach presents the following source proposition: Artificial Intelligence is rapidly evolving into autonomous decision systems. This proposition is pertinent to Kaal's source-bound claim that In fast-moving fields such as technology, law, and public policy, models trained on obsolete datasets fail to capture new trends, behaviors, or regulatory changes, which reduces their predictive and explanatory power. 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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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
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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: 0.4358.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "name": "A Governance-First Framework for Risk-Controlled AI Decision Systems: The AICOS Approach",
  "url": "https://doi.org/10.2139/ssrn.6506158"
 },
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  "identifier": "kaal:claim:5095633-014",
  "url": "https://wulfkaal.github.io/claims/5095633-014",
  "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",
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   "url": "https://doi.org/10.2139/ssrn.6506158"
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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, rapidly, evolving. Scope: domains with rapid regulatory or behavioral change.",
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  "workAuthors": [
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, risk, artificial, intelligence, evolving. Scope: United States federal and state oversight of AI in legal and judicial contexts.",
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    "whyRelevant": "Shared high-information concepts: decision, artificial, intelligence, evolving. Scope: European Court of Human Rights; Article 6 cases; prediction against existing judgments.",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: decision, artificial, intelligence, evolving. Scope: the existing empirical literature on AI in judicial systems.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: first, artificial, intelligence, evolving. Scope: Chinese courts using LLMs to draft judicial opinions.",
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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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