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 "text": "An Enterprise AI Data Governance Framework for Secure, Ethical and Compliant Healthcare Systems presents the following source proposition: Yet, this rapid adoption introduces complex challenges around privacy, ethics, compliance, bias, and transparency. This proposition is pertinent to Kaal's source-bound claim that WDAGs allow new regulatory and ethical standards to be integrated into existing AI systems without overhauling the entire model architecture, which is what makes rapid legal adaptation feasible in sectors such as public safety and healthcare. 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.",
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  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://doi.org/10.2139/ssrn.7002878"
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  "paper": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance",
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