Explainable post-training bias mitigation with distribution-based fairness metrics

Ryan Franks, Alexey Miroshnikov, Konstandinos Kotsiopoulos

We develop a novel bias mitigation framework with distribution-based fairness constraints suitable for producing demographically blind and explainable machine-learning models acros…