Before revision: We address an inherent difficulty in welfare-theoretic fair machine learning , proposing an equivalently-axiomatically justified alternative , and studying the resulting computational and statistical learning questions.
After revision: We address an inherent difficulty in welfare-theoretic fair machine learning by proposing an equivalently axiomatically-justified alternative and studying the resulting computational and statistical learning questions.