AIBullisharXiv – CS AI · Mar 176/10
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Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking
Researchers developed a novel counterfactual approach to address fairness bugs in machine learning software that maintains competitive performance while improving fairness. The method outperformed existing solutions in 84.6% of cases across extensive testing on 8 real-world datasets using multiple performance and fairness metrics.
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