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Jun, 2023
FAIRER: 公平作为决策合理性对齐
FAIRER: Fairness as Decision Rationale Alignment
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Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li...
TL;DR
从决策合理性角度出发,通过分析不同子组中神经元的影响,定义参数平衡分数来表征公平决策过程,提出了一种全新的公平性训练任务-决策合理性对齐,旨在使深度神经网络在中间层和最终预测时对子组的响应保持一致,提出了一种渐进式算法,即梯度引导的平衡对齐,可以显著提高公平性,同时保持准确性水平,且优于其他方法。
Abstract
deep neural networks
(DNNs) have made significant progress, but often suffer from
fairness
issues, as deep models typically show distinct accuracy differences among certain subgroups (e.g., males and females). Ex
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