Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification

Jianqing Fan, Xin Tong, Yanhui Wu +2

Organizations often rely on statistical algorithms to make socially and economically impactful decisions. We must address the fairness issues in these important automated decisions…