Interpretability for Discovery

AI models now match or exceed human experts across domains from protein structure prediction and clinical forecasting to astronomy, climate science, animal communication, and strategic games.

This workshop reframes interpretability as a tool for discovery, bringing interpretability researchers and domain scientists together to turn what models encode into knowledge experts can test and validate.