Shi-Mei Pan

When Fairness Metrics Help Each Other: Look-Ahead Optimization for Multi-Metric Fairness Weighting

Fairness-aware machine learning depends crucially on the fairness criterion chosen, and it is well understood that these criteria are often in conflict with each other. In this work, we challenge this conventional wisdom by exploring how competing fairness criteria may in some cases interact in helpful ways. We investi...