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 "name": "Streaming Ai Driven Oversight In Multi Sector Governance Systems A Cross Domain An F61982Cf84",
 "text": "AI-Driven Oversight in Multi-Sector Governance Systems: A Cross-Domain Analysis of Adaptive AI-Enabled Governance presents the following source proposition: As AI becomes embedded in cyber-physical systems, organizational decision processes, and regulatory infrastructures, governance must evolve from static compliance to adaptive, intelligence-augmented oversight. This proposition is pertinent to Kaal's source-bound claim that Taken together, the transparency, decentralized decision making, and automated real time response properties of the proposed model make decentralized governance superior to AI driven supervision for secure, compliant, and efficient execution of AI agent transactions. 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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  "name": "AI-Driven Oversight in Multi-Sector Governance Systems: A Cross-Domain Analysis of Adaptive AI-Enabled Governance",
  "url": "https://doi.org/10.51505/ijaemr.2026.11324"
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  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "Wulf A. Kaal, How can we Best Monitor AI Agents",
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