Individual fairness requires that similar individuals are treated similarly. It is supposed to prevent the unfair treatment of individuals on the subgroup level and to overcome the problem that group fairness measures are susceptible to manipulation or gerrymandering. The goal of the present paper is to explore the extent to which individual fairness itself can be gerrymandered. It will be proved that individual fairness can be gerrymandered in the context of predicting scores. Then, it will be argued that individual fairness is a very weak notion of fairness for some choices of feature space and metric. Finally, it will be discussed which properties of (individual) fairness are desirable.

个人公平要求相似的个人受到相似的对待。它旨在防止亚群体层面上的个人受到不公平待遇，并克服群体公平措施容易受到操纵或不公正划分的问题。本文的目的是探讨个人公平本身可以在多大程度上被不公正地划分选区。将证明，在预测分数的背景下，个人公平性可以被不公正地划分。然后，人们会认为，对于特征空间和度量的某些选择，个体公平性是一个非常弱的公平概念。最后，将讨论（个人）公平性的哪些属性是可取的。