A Decision-Theoretic Approach for Managing Misalignment

This paper presents a decision-theoretic approach to manage misalignment in AI systems, a critical challenge for safe and ethical AI deployment. It provides a formal framework to reason about and mitigate the risks associated with AI systems whose objectives may not perfectly align with human values, offering practical strategies for responsible AI development and governance.