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Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking.

, , , , , , , , and . CoRR, (2023)

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Individual Fairness Under Uncertainty., , , , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 3042-3049. IOS Press, (2023)FG2AN: Fairness-Aware Graph Generative Adversarial Networks., , , , and . ECML/PKDD (2), volume 14170 of Lecture Notes in Computer Science, page 259-275. Springer, (2023)Fairness in Large Language Models: A Taxonomic Survey., , and . CoRR, (2024)Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples., , , and . ICDM, page 638-647. IEEE, (2023)Improving Fairness in Machine Learning Software via Counterfactual Fairness Thinking., , and . ICSE Companion, page 420-421. ACM, (2024)Individual Fairness Guarantee in Learning with Censorship., , , , and . CoRR, (2023)Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking., , , , , , , , and . CoRR, (2023)Preventing Discriminatory Decision-making in Evolving Data Streams., , , , , , , , , and 2 other author(s). FAccT, page 149-159. ACM, (2023)Uncertain Boundaries: Multidisciplinary Approaches to Copyright Issues in Generative AI., , and . CoRR, (2024)History, Development, and Principles of Large Language Models-An Introductory Survey., , , , , , , , and . CoRR, (2024)