Systemic Fairness. (arXiv:2304.06901v1 [cs.LG])

Machine learning algorithms are increasingly used to make or support
decisions in a wide range of settings. With such expansive use there is also
growing concern about the fairness of such methods. Prior literature on
algorithmic fairness has extensively addressed risks and in many cases
presented approaches to manage some of them. However, most studies have focused
on fairness issues that arise from actions taken by a (single) focal
decision-maker or agent. In contrast, most real-world systems have many agents …

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