Delegation Drift in Continuously Updated Intelligent Systems: A Theoretical Framework
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This paper explores the concept of Delegation Drift in continuously updated intelligent systems. It presents a theoretical framework to understand the potential risks and emergent behaviors of AI systems that autonomously update and optimize themselves across interconnected platforms. The study highlights the importance of human oversight to prevent unintended consequences in AI deployment.
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Zenodo创建时间:
2025-10-26



