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 "name": "Streaming Blockchain Enabled Trust And Compliance For Clinical Ai Decentralized Go 8Cf6A6Bcc8",
 "text": "Blockchain-Enabled Trust and Compliance for Clinical AI: Decentralized Governance Without Decentralized Data Storage presents the following source proposition: Clinical AI systems rely on evolving machine learning pipelines and large-scale medical imaging data, creating persistent challenges in trust, auditability, consent governance, and reproducibility. This proposition is pertinent to Kaal's source-bound claim that Managing machine learning assets and complying with laws such as GDPR and CCPA becomes significantly harder under decentralized governance, because distributed data and operations complicate tracking data flows, enforcing privacy controls, and demonstrating compliance during audits. 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",
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3563.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "Blockchain-Enabled Trust and Compliance for Clinical AI: Decentralized Governance Without Decentralized Data Storage",
  "url": "https://www.semanticscholar.org/paper/530d90ca255e55d7f0edecec1290044e24139671"
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  "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
  "paper": "Wulf A. Kaal, AI Governance",
  "authors": [
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  "year": "2024",
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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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