BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables

arXiv:2307.02891v2 Announce Type: replace
Abstract: We consider the problem of unfair discrimination between two groups and propose a pre-processing method to achieve fairness. Corrective methods like statistical parity usually lead to bad accuracy and do not really achieve fairness in situations where there is a correlation between the sensitive attribute S and the legitimate attribute E (explanatory variable) that should determine the decision. To overcome these drawbacks, other notions of fairness have been proposed, in particular, conditional statistical parity and …

abstract accuracy arxiv correlation cs.ai cs.cy cs.lg discrimination fairness pre-processing processing statistical type variables via