Fairness Risks for Group-conditionally Missing Demographics

arXiv:2402.13393v1 Announce Type: new
Abstract: Fairness-aware classification models have gained increasing attention in recent years as concerns grow on discrimination against some demographic groups. Most existing models require full knowledge of the sensitive features, which can be impractical due to privacy, legal issues, and an individual's fear of discrimination. The key challenge we will address is the group dependency of the unavailability, e.g., people of some age range may be more reluctant to reveal their age. Our solution augments general …

abstract arxiv attention challenge classification concerns cs.cy cs.lg demographics discrimination fairness fear features key knowledge legal privacy risks the key type will