> "Distilling complex bias issues (e.g., disparities in performance across intersectional subgroups or instances of stereotype reinforcement) to a small number of metrics without losing important nuance is extremely challenging. Another challenge is balancing the interplay between fairness metrics and other product metrics (e.g., user satisfaction, accuracy, latency), which are often phrased as conflicting despite being compatible. It is common for researchers to describe their work as optimizing an "accuracy-fairness" tradeoff when in reality widespread user satisfaction is aligned with meeting fairness and inclusion objectives."
Very well articulated. Can't agree with this enough.