Fairness of Classifiers in the Presence of Constraints between Features

arXiv:2605.00592v1 Announce Type: cross Abstract: In Machine Learning, an accepted definition of fairness of a decision taken by a classifier is that it should not depend on protected features, such as gender. Unfortunately, when constraints exist between features, such dependencies can be obscured...