Winter School on Causality and Explainable AI

Dates: From 20 to 24 October 2025.

Location: SCAI, in Jussieu - Paris.

Please click here to register for the event. Read more here.

⚠️ Update: Thank you very much for your interest in the winter school! Due to the very high number of applicants, new registrations are being placed on a waiting list. More information will be shared in the coming days.

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.

the location is nice!