Today’s AI can accelerate analysis, surface patterns and generate hypotheses. But in real scientific work, it can also be unreliable, inaccurate or unable to solve the problem in front of it.

AIAS+ starts there: With the gaps. What would an ideal AI scientist need to do? What happens when AI can make discoveries humans can verify but cannot fully understand? And as AI-generated research scales, how do we protect evidence, trust and the scientific record?
AIAS+ brings the people closest to these questions into the same room to work through them.