Before revision:  Specifically, our goal is to design a fairness utility score for each feature which quantifies how this feature influences accurate as well as nondiscriminatory decisions. We first propose information theoretic measures for the impact of different subsets of features on the accuracy and discrimination of the model.
After revision:  In particular, we first propose information theoretic measures for the impact of different subsets of features on the accuracy and discrimination of the model.