Tuning Derivatives for Causal Fairness in Machine Learning
概要
arXiv:2605.05882v1 Announce Type: cross Abstract: Artificial-intelligence systems are becoming ubiquitous in society, yet their predictions typically inherit biases with respect to protected attributes such as race, gender, or age. Classical fairness notions, most notably Statistical Parity (SP), d…
