Arguments in favor of tempering algorithmic decision making with human judgment often appeal to concepts and criteria derived from legal philosophy about the nature of law and legal reasoning, arguing that algorithmic systems cannot satisfy them (but humans can). Such arguments often make implicit appeal to the notion that each case needs to be assessed on its own merits, without comparison to or generalization from previous cases. This article argues that this notion of individual justice can only be meaningfully served through human judgment. It distinguishes individual justice and considers how it relates to other dimensions of justice, namely consistency and fairness / nondiscrimination. Finally, it identifies and discussess two challenges: first, how individual justice can be accommodated alongside other dimensions of justice in the socio-technical contexts of humans-in-the-loop; and second, how inequities in individual justice may result from an uneven application of human judgment in algorithmic contexts.

中文翻译：

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算法循环中的人类判断：个人正义和自动决策

支持将算法决策与人类判断相结合的论点通常诉诸法律哲学中关于法律性质和法律推理的概念和标准，认为算法系统不能满足它们（但人类可以）。这样的论点常常隐含地诉诸这样一种观念，即每个案例都需要根据其自身的优点进行评估，而不是与以前的案例进行比较或概括。本文认为，这种个人正义的概念只能通过人类判断来实现。它区分了个人正义，并考虑了它如何与正义的其他维度相关，即一致性和公平/非歧视。最后，它确定并讨论了两个挑战：首先，在人类在环的社会技术背景下，个人正义如何与正义的其他维度一起被容纳；其次，个人正义中的不公平是如何由算法环境中人类判断的不均衡应用造成的。