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 "text": "Artificial Intelligence in Business Law: Navigating Regulation, Ethics, and Governance presents the following source proposition: As AI applications in legal processes grow—ranging from compliance automation and contract management to risk assessment and predictive compliance—organizations must navigate complex regulatory landscapes and address ethical considerations like data privacy, bias, and transparency. This proposition is pertinent to Kaal's source-bound claim that Decentralized data production will succeed only if it solves fraudulent submissions, content moderation, and alignment with ethical and legal frameworks; these are necessary conditions, not incidental risks. 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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  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://doi.org/10.62311/nesx/66203"
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