Talk
in
Workshop: XAI in Action: Past, Present, and Future Applications
Theoretical guarantees for explainable AI?
Ulrike Luxburg
Abstract:
Explainable machine learning is often discussed as a tool to increase trust in machine learning systems. In my opinion, this can only work if the explanations are trustworthy themselves: we should be able to prove strong guarantees on the explanations provided. In my presentation I will argue that strong explanations in interesting scenarios might be difficult to achieve.
Chat is not available.