Trusting AI-Driven Science
Examines how artificial intelligence reshapes scientific credibility, discovery, and explanation, with a particular focus on chemistry, physics, and materials science. Addresses whether AI-assisted science can be trusted and how AI tools influence data analysis and the processes of scientific discovery.
This project investigates the epistemic implications of AI’s growing role in scientific research. As AI tools increasingly mediate data collection, analysis, and interpretation, fundamental questions arise about the nature of scientific explanation and the conditions under which AI-assisted findings can be considered trustworthy.
The project draws on philosophy of science, epistemology, and science and technology studies to develop frameworks for evaluating AI-assisted research in the physical sciences.