Last September, I had the opportunity to participate in the EXPLAINABLE DATA SCIENCE summer school in Kirchberg, Luxembourg. the summer school was organized by the European Association for Data Science (EuADS) and was held during 10-13 September.
What I specifically liked about this summer school ( of course besides enjoying the the beautiful city of Luxembourg ) was the fact that it covered a vast variety of topics in the explainable machine learning (AI) literature, ranging from visualization, XAI techniques, causality to psychological aspects of explainability.