Causality in Machine Learning - Panel Discussion

Causality in Machine Learning - Panel Discussion

Engage in a thought-provoking panel discussion on causality featuring experts Alex D'Amour from Google Brain and Joe Halpern from Cornell University. Explore the intricate relationship between interpretable machine learning and causal inference in both natural and social sciences. Delve into cutting-edge research and practical applications of causal reasoning in AI and data analysis. Gain valuable insights into how causal frameworks can enhance the interpretability and reliability of machine learning models across various scientific disciplines.