O. Verbytskyi

SPURIOUS CORRELATIONS IN EXPLAINABLE AI: DETECTION, QUANTIFICATION AND MITIGATION

Modern explainable AI (XAI) methods are widely used to audit deep neural networks, yet a growing body of evidence shows that the very explanations they produce can be hijacked by spurious correlations - statistical shortcuts between non-causal input features (image background, demographic attributes, textual artefacts)...