Flexible governance for biological data is needed to reduce AI’s biosecurity risks
In a Policy Forum, Doni Bloomfield and colleagues discuss the need for expanded – yet tailored and flexible – governance for the biological data used to develop powerful artificial intelligence (AI) models. Rapidly advancing AI systems trained on biological data have enabled researchers to design new molecules, predict protein structure and function, and probe vast and highly complex biological datasets for novel insights that could greatly expand our understanding of nature and human health. However, these same tools could also be misused for dangerous purposes, such as designing harmful pathogens or generating genetic ...