Chenhao Tan (UChicago): Schmidt AI in Science Speaker Series- Science in the Age of AI
Abstract: As AI becomes increasingly capable of following instructions and conducting analyses, I believe that scientists will increasingly play the role of selector and evaluator. In this talk, I will share our recent advances in AI-enabled hypothesis generation and research evaluation. Rather than treating AI hallucinations as obstacles to eliminate, we leverage data and literature to steer AI creativity toward generating effective hypotheses. I will also introduce HypoBench, a dedicated benchmark for evaluating hypothesis generation, which reveals significant room for potential improvement of current AI models. Finally, I will present ongoing work that formalizes the evaluation of research outcomes beyond the paper itself and use AI to conduct robust evaluation of research evaluation, with a case study on mechanistic interpretability.
Speakers
Chenhao Tan
Chenhao Tan is an assistant professor of computer science at the University of Colorado Boulder. His research interests include human-centered AI, natural language processing, and computational social science. His work has been covered by many news media outlets, such as the New York Times and the Washington Post.
