The hard parts of AI-assisted science
Allen Institute (AI2) 1 month ago 20
Ai2 and the Paul G. Allen Research Center held an August 27 event to review what modern AI still cannot do for steering live scientific research as evidence and hypotheses change. The discussion centered on five recurring challenges, including steerable agents and delegation choices, rather than improvements to day-to-day analysis. The takeaway was that future scientific AI work should focus on adaptability, human steering and verification, and tighter AI-to-lab feedback loops instead of only generating hypotheses or accelerating computation.