Explore the fundamental concepts driving research in artificial intelligence systems in this 48-minute lecture by Bernhard Schölkopf. Delve into the evolution of AI approaches, from symbolic methods to statistical learning, and finally to interventional models based on causality. Examine how some of the most challenging problems in machine learning and AI are inherently linked to causality, and discover why progress in these areas may depend on advancing our understanding of causal modeling and inference from data. Access accompanying slides for a comprehensive visual aid to enhance your learning experience.