What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective. (arXiv:2206.04101v1 [cs.LG])

Algorithmic fairness has attracted increasing attention in the machine
learning community. Various definitions are proposed in the literature, but the
differences and connections among them are not clearly addressed. In this
paper, we review and reflect on various fairness notions previously proposed in
machine learning literature, and make an attempt to draw connections to
arguments in moral and political philosophy, especially theories of justice. We
also consider fairness inquiries from a dynamic perspective, and further
consider the long-term impact that …

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