Introduction
Scientists and policymakers have expressed a great deal of concern recently about biosecurity risks posed by frontier artificial intelligence systems, especially large language models like ChatGPT and Claude. Yet these models also promise to accelerate many areas of work, including biotechnology.
Fear of disease is visceral and the need for biosecurity well-founded, especially in the wake of the coronavirus pandemic. But our security strategies must avoid placing limitations on key advances such as mRNA vaccine research, epidemiological surveillance, and synthetic biology, or on more broadly applicable machine learning systems.
In this essay, I review the existing literature at the intersection of biological safety measures and frontier language models, including both qualitative and quantitative explorations... (read 2758 more words →)