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Refusal rates for legitimate biological research tasks can exceed those for concealed biosecurity threats, raising critical concerns about AI safety in life sciences.
AI agents struggle to make reliable preclinical pharmacology decisions, with the best models achieving less than 60% accuracy in real-world evaluations.
