2017
From Parity to Preference-based Notions of Fairness in Classification
NeurIPS 2017poster
The adoption of automated, data-driven decision making in an ever expanding range of applications has raised concerns about its potential unfairness towards certain social groups. In this context, a number of recent studies have focused on defining, detecting, and removing unfairness from data-drive…