Q$9[4$ pt total$].$ A natural way to promote fairness is to introduce a regularization term that penalizes the unfairness in the classifier, and this term can be added to any existing learning objective. This requires quantifying the degree to which a fairness criterium is violated. In the context of binary classification, the mean difference $($MD$)$ score is defined as: