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.
2023 IEEE International Conference on Big Data (BigData) , 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.