A framework and RL algorithm for long-term fairness under selective labels that decomposes the true fairness measure into observed fairness plus prediction bias and provides sufficient conditions based on predictor confidence.
Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining , pages=
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Long-term Fairness with Selective Labels
A framework and RL algorithm for long-term fairness under selective labels that decomposes the true fairness measure into observed fairness plus prediction bias and provides sufficient conditions based on predictor confidence.