Cordelia Berz

Exploring the Logic of Counterfactuals for Explaining Algorithmic Decisions

Interpretable machine learning (ML) is crucial for gaining insight into complex ML models. Among its most valuable tools are counterfactual explanations, identifying changes to input features that would alter an ML prediction. However, the reliability and usefulness of these explanations depend fundamentally on the...