References

• 2021A Survey on Bias and Fairness in Machine Learning6,499 cited
• 2012Fairness through awareness3,545 cited
• 2016Equality of Opportunity in Supervised Learning2,733 cited
• 2015Certifying and Removing Disparate Impact1,827 cited
• 2018Mitigating Unwanted Biases with Adversarial Learning1,428 cited
• 20132013 IEEE International Conference on Big Data1,406 cited
• 2018Fairness in Criminal Justice Risk Assessments: The State of the Art1,031 cited
• 2015Fairness Constraints: Mechanisms for Fair Classification713 cited
• 2018Equity of Attention386 cited
• 2018FairGAN: Fairness-aware Generative Adversarial Networks381 cited
• 2017Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations353 cited
• 2021Mitigating bias in machine learning for medicine269 cited
• 2018Fairness Without Demographics in Repeated Loss Minimization239 cited
• 2019Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure205 cited
• 2019Flexibly Fair Representation Learning by Disentanglement186 cited
• 2022EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks