#machine-learning-fairness News & Analysis

MIFair: A Mutual-Information Framework for Intersectionality and Multiclass Fairness

Researchers introduce MIFair, a machine learning framework using mutual information to assess and mitigate bias in AI systems, with particular strength in handling intersectionality and multiclass classification. The framework consolidates diverse fairness metrics into a unified approach and demonstrates effectiveness on real-world datasets while maintaining predictive performance.