Explainable AI 7,5 credits

The course is an advanced course that focuses on explainability for AI methods.

The course addresses the question of how to explain "black-box" models that are opaque and do not provide any explanation for their inner workings. The course introduces different explainability paradigms, such as post-hoc methods, surrogate models, Shapley values, and counterfactual explanations.

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