Fair Machine Guidance to Enhance Fair Decision Making

Mingzhe Yang
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Abstract

Human judgment is often subject to bias, leading to unfair decisions. This is particularly problematic when assessments have significant consequences, underscoring the importance of guiding humans towards fairness. Although recent advancements in AI have facilitated decision support, it is not always feasible to employ AI assistance in real-world scenarios. Therefore, this study focuses on developing and evaluating a method to guide humans in making fair judgments. Our experimental results confirmed that our approach effectively promotes fairness in human decision-making.
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公平机器指导,加强公平决策
人类的判断往往会出现偏差,导致不公平的决定。当评估产生重大后果时,这种问题就尤为突出,这也凸显了引导人类实现公平的重要性。虽然最近人工智能的进步促进了决策支持,但在现实世界中使用人工智能辅助并不总是可行的。因此,本研究侧重于开发和评估一种引导人类做出公平判断的方法。实验结果证实,我们的方法能有效促进人类决策的公平性。
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