Governing What You Cannot Observe: Adaptive Runtime Governance for Autonomous AI Agents

This work presents a framework for adaptive runtime governance designed to manage and control autonomous AI agents, particularly in scenarios where direct observation of their internal states or decisions is limited. It addresses crucial aspects of safety, reliability, and ethical operation for AI systems deployed in complex and unpredictable real-world environments.