MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness
arXiv:2604.28030v1 Announce Type: new
Abstract: Fairness in machine learning remains challenging due to its ethical complexity, the absence of a universal definition, and the need for context-specific bias metrics. Existing methods still struggle with…