Measuring Biological Capabilities and Risks of AI Agents
Researchers introduce a framework for evaluating biological capabilities and risks of AI agent systems capable of autonomous scientific research. The paper synthesizes evidence on AI-enabled biological risks and provides practical guidance for policymakers, funders, and biosecurity practitioners to interpret evaluation results with appropriate caution, highlighting how methodological design choices significantly shape what conclusions can be drawn about risk.
