The Explainable AI summer school aims to cover some of the most important topics in explainable AI (e.g. post-hoc interpretability in ML, interpretable representation learning in language and vision tasks, counterfactuals, human-centric explainability, and others) and their applications in important subject areas (e.g. language, vision, search and recom…
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