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 "name": "Streaming The Compliance Evidence Gap Why Ai Governance Frameworks Stop Short At T 9E75925C03",
 "text": "The Compliance Evidence Gap: Why AI Governance Frameworks Stop Short at the Point of Proof presents the following source proposition: <p>The EU AI Act (Regulation (EU) 2024/1689) is the most detailed AI regulation any major economy has enacted, and it is precise about what an organisation deploying a high-risk system must demonstrate. This proposition is pertinent to Kaal's source-bound claim that Decentralized governance makes privacy compliance harder to demonstrate, because the distributed nature of these systems complicates tracking data flows and enforcing privacy controls, which in turn makes it difficult to prove compliance during audits. The proposed response is a qualification: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
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  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "The Compliance Evidence Gap: Why AI Governance Frameworks Stop Short at the Point of Proof",
  "url": "https://doi.org/10.2139/ssrn.6940418"
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  "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
  "paper": "Wulf A. Kaal, AI Governance Via Web3 Reputation System",
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