Context matters for fairness -- a case study on the effect of spatial distribution shifts. (arXiv:2206.11436v1 [cs.LG])

With the ever growing involvement of data-driven AI-based decision making
technologies in our daily social lives, the fairness of these systems is
becoming a crucial phenomenon. However, an important and often challenging
aspect in utilizing such systems is to distinguish validity for the range of
their application especially under distribution shifts, i.e., when a model is
deployed on data with different distribution than the training set. In this
paper, we present a case study on the newly released American Census …

arxiv case case study context distribution fairness lg study