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
• 2011Data preprocessing techniques for classification without discrimination1,344 cited
• 2018Fairness definitions explained1,133 cited
• 2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems393 cited
• 2018FairGAN: Fairness-aware Generative Adversarial Networks381 cited
• 2017Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations353 cited
• 2020Gender Bias in Neural Natural Language Processing266 cited
• 2019Counterfactual Fairness in Text Classification through Robustness200 cited
• 2018Ethical Implications of Bias in Machine Learning130 cited
• 2020An Investigation of Why Overparameterization Exacerbates Spurious Correlations122 cited
• 2020Fairness without Demographics through Adversarially Reweighted Learning117 cited
• 2020Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes96 cited
• 2019Operationalizing individual fairness with pairwise fair representations86 cited