AI and Science

What risks do AI tools pose for scientific work?

With M. J. Crockett (cognitive scientist, Princeton University), we have been analyzing the epistemic risks that artificial intelligence poses for scientific teams.

Published in Nature, "Artificial Intelligence and Illusions of Understanding," presents a framework for thinking about the advantages that AI tools promise for scientists and the potential risks that might accompany wide scale adoption.

This paper was accompanied by a Nature editorial. "The peer-reviewed article is a timely and disturbing warning about what could be lost if scientists embrace AI systems without thoroughly considering such hazards."

We also contributed to a piece in Nature Human Behavior on AI in science communication.

Prior to these publications, we published a multi-authored letter in PNAS about the limits of machine learning for predicting scientific replication.