Explainable post-training bias mitigation with distribution-based fairness metrics

arXiv — cs.LGFriday, October 31, 2025 at 4:00:00 AM
A new framework for bias mitigation in machine learning has been developed, focusing on distribution-based fairness metrics. This innovative approach allows for the creation of demographically blind and explainable models without the need for retraining, making it efficient and adaptable across various fairness levels. This is significant as it addresses the growing concern of bias in AI, ensuring that machine learning applications can be fairer and more transparent.
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