[ELLIS Paris] Winter School on Causality and Explainable AI

Winter School on Causality and Explainable AI
"Causality-XAI Winter School"

Dates: From 20 to 24 October 2025.

Location: SCAI, in Jussieu - Paris.

Please click here to register for the event

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.

Provisional schedule:

Read more here.