Winter School on Causality and Explainable AI
Dates: From 20 to 24 October 2025.
Location: SCAI, in Jussieu - Paris. Click here to see the precise location.
⚠️ Update: Thank you very much for your interest in the winter school! Unfortunately, the event has reached full capacity very fast, and we are unable to offer more places this year. We truly appreciate your interest and encourage you to apply again for future editions.
This winter school brings together leading experts in causality and explainability—two key pillars of modern AI. While often studied separately, these fields are complementary: causality uncovers the underlying cause-effect mechanisms of data, while explainability sheds light on the behavior of predictive models. By bringing them together, this will open up new avenues for enhancing the reliability and interpretability of AI models. Designed for Master’s and PhD students, the program combines lectures, tutorials, and interdisciplinary discussions, including an accessible introductory tutorial tailored to Master’s students.
