AI for the Sciences - Recent Developments for XAI - IPAM at UCLA

Explore recent developments in Explainable AI (XAI) for scientific applications in this 47-minute lecture presented by Klaus-Robert Müller from Technische Universität Berlin. Recorded at the Institute for Pure & Applied Mathematics (IPAM) workshop on Explainable AI for the Sciences, delve into the latest advancements and methodologies for making AI systems more interpretable and transparent in scientific contexts. Gain insights into how XAI techniques are being applied to enhance understanding and trust in AI-driven scientific research and discoveries.