Preemptively pruning Clever-Hans strategies in deep neural networks

Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon

Abstract: Highlights•Explainable AI may not detect all Clever Hans effects in practical ML scenarios.•Hidden Clever Hans effects can be mitigated using Exposure Minimization.•We propose a solution in the form of a soft-pruning scheme on network activations.•We demonstrate the practical benefits of our approach on image and text data.