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 "text": "Quantum–AI Legal Intelligence for Regulatory Compliance, Data Sovereignty, and Algorithmic Governance presents the following source proposition: Across five chapters, the book progresses from foundations and research design to causal explanation, trustworthy machine learning, sovereign data infrastructure and sectoral policy impact. 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.",
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