Forecasting LLM-Enabled Biorisk and the Efficacy of Safeguards

Capabilities of large language models (LLMs) on several biological benchmarks have prompted excitement about their usefulness for beneficial research, but also concern about potential biosecurity risks. We recruited 46 subject-matter experts in biology and biosecurity, and 22 generalist forecasters to estimate the risks of growing LLM capabilities. The median expert predicted a 0.3% baseline annual risk of a human-caused epidemic that causes 100,000 deaths.

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