The Winter School on Causality and Explainable AI is organized by a team from the Sorbonne Center for Artificial Intelligence, ELLIS - European Laboratory for Learning and Intelligent Systems, and other partner institutions. This specialized program focuses on the intersection of causal inference and explainable artificial intelligence, providing participants with theoretical foundations and practical applications in these critical areas of AI research. The school emphasizes understanding causal relationships in data and developing interpretable AI systems.