Safety of Autonomous Agents

Create a safety evaluation framework for autonomous AI agents operating in dynamic, real-world environments. Cover risk assessment, containment and fallback procedures, attribution of responsibility after incidents, ongoing monitoring, and post-deployment review. Define measurable safety metrics, testing regimes, and governance processes to continuously improve agent reliability while enabling innovative agent applications.