Bioinfohazards: Jassi Pannu on Controlling Dangerous Data from which AI Models Learn

Jassi Pannu, Assistant Professor at Johns Hopkins, explains how rapidly advancing AI is transforming biological research and raising the risk of engineered pandemics. They map today’s biosecurity landscape, from pathogen detection and DNA sequencing to vaccine development, and examine how frontier models can already troubleshoot lab work and bypass data safeguards. The conversation introduces a proposed Biosecurity Data Level framework to restrict only the most dangerous functional biological da