Panel Discussion: Scientific AI - Data Quality, Current Limitations, and the Future of Models That Understand Science

In Person: RAA-G-01

A discussion on the state of scientific AI: the quality of the data it depends on, the difficulty of evaluating model performance, the limits of interpretability, and what still needs to improve before AI systems can more reliably support scientific discovery.