Tuesday, 20 October 2026 | 10:15 - 11:15
Panel Discussion: Scientific AI - Data Quality, Current Limitations, and the Future of Models That Understand Science
Track:Panel Discussion
- Open Innovation
- Diagnostics
- Policy
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.
3 speakers
Project Lead Findable and Reusable Knowledge at ZonMw
ZonMw
Associate Professor of Statistics
University of Oxford
Tenured Faculty
CISPA Helmholtz Center for Information Security