BioSecBench-Refusal: Benchmark for AI Agent Biosecurity Risk and Refusal Behavior
Researchers introduce BioSecBench-Refusal, a benchmark that pairs 61 routine biological tasks with 46 red-team scenarios to evaluate AI agents' ability to identify biosecurity hazards while minimizing unnecessary refusals. Testing 16 model configurations, they found refusal rates for legitimate tasks often matched or exceeded those for actual threats, highlighting the difficulty of balancing safety and utility. The benchmark is released as a tool for calibrating AI models in life science research.
Why it matters: This benchmark provides a practical tool for developers to assess and improve the balance between safety and capability in AI agents used for biological research.
Full story at: arXiv Cryptography and Security ↗