Invited talk at MPML

Miguel Couceiro will give a talk at the IST seminar series on Mathematics, Physics & Machine Learning (MPML).

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 »