Background

Fairness Metrics

Several metrics have been proposed in the literature in order to assess ML model’s fairness. Here we recall some of the most used ones. Disparate Impact (DI) is rooted in the desire for different sensitive demographic groups to experience similar rates of positive decision outcomes (). Given the ML model, represents the predicted class. It • Read More »