References

• 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
• 2012Fairness through awareness3,501 cited
• 2025Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games3,216 cited
• 2016Equality of Opportunity in Supervised Learning2,535 cited
• 2015Certifying and Removing Disparate Impact1,827 cited
• 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
• 2013Teens, social media, and privacy701 cited
• 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
• 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
• 2017On Fairness and Calibration509 cited
• 2018Learning Adversarially Fair and Transferable Representations387 cited
• 2018FairGAN: Fairness-aware Generative Adversarial Networks379 cited
• 2011Fairness-aware Learning through Regularization Approach375 cited
• 2017Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations282 cited
• 2019A Framework for Understanding Unintended Consequences of Machine Learning226 cited
• 2019Flexibly Fair Representation Learning by Disentanglement