Preserving Causal Constraints in Counterfactual Explanations for MachineLearning Classifiers

Framing and Key Contributions Context and motivation At first glance the paper tackles an intuitively clear but technically thorny problem: making counterfactual explanations actually usable by people requires respecting what is feasible in the real ...