Paradoxes in Fair Computer-Aided Decision Making
Paradoxes in Fair Computer-Aided Decision Making
复制标题
公平计算机辅助决策中的悖论
DOI：
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复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
R. Pass
中科院分区：
文献类型：
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作者：
Andrew Morgan;R. Pass
计算机辅助决策--人类决策者在做出决策时得到计算分类器的帮助--正变得越来越普遍。例如，至少有九个州的法官在判决、假释或保释决定中使用算法工具来确定刑事被告的“累犯风险评分”。最近争论的一个主题是，这种算法工具是否“公平”，因为它们不歧视某些群体（例如，种族）的人。我们的主要结果表明，对于“非平凡”的计算机辅助决策，要么分类器必须是歧视性的，或者一个理性的决策者使用的分类器的输出是被迫歧视。我们进一步提供了一个完整的表征的情况下，公平的计算机辅助决策是可能的。
Computer-aided decision making--where a human decision-maker is aided by a computational classifier in making a decision--is becoming increasingly prevalent. For instance, judges in at least nine states make use of algorithmic tools meant to determine "recidivism risk scores" for criminal defendants in sentencing, parole, or bail decisions. A subject of much recent debate is whether such algorithmic tools are "fair" in the sense that they do not discriminate against certain groups (e.g., races) of people. Our main result shows that for "non-trivial" computer-aided decision making, either the classifier must be discriminatory, or a rational decision-maker using the output of the classifier is forced to be discriminatory. We further provide a complete characterization of situations where fair computer-aided decision making is possible.
DOI：
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发表时间：
2018
期刊：
Theory of Cryptography Conference
影响因子：
--
作者：
Andrew, Morgan
通讯作者：
Andrew, Morgan