AI Reports · GovAI (Oxford) · 2026-10-17 · Research paper
Technical AI Governance Measuring AI Agent Autonomy: Towards a Scalable Approach with Code Inspection February 2025 Research Paper Peter Cihon, Merlin Stein, Gagan Bansal, Sam Manning, Kevin Xu AI age
The paper introduces a code-based way to assess AI agent autonomy that does not require running the agent, reducing the cost and risk of run-time evaluations. The orchestration code used to run an agent is scored on the attributes of impact and oversight. The authors demonstrate the approach with the AutoGen framework and select applications.