References

• 2018Mitigating Unwanted Biases with Adversarial Learning1,428 cited
• 2017Counterfactual Fairness1,096 cited
• 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries793 cited
• 2019Gender Bias in Contextualized Word Embeddings334 cited
• 2020Gender Bias in Neural Natural Language Processing266 cited
• 2021Socially Responsible AI Algorithms: Issues, Purposes, and Challenges261 cited
• 2019Delayed Impact of Fair Machine Learning211 cited
• 2018Fairness in Decision-Making — The Causal Explanation Formula202 cited
• 2019Counterfactual Fairness: Unidentification, Bound and Algorithm73 cited
• 2013A Methodology For Direct and Indirect Discrimination Prevention In Data Mining58 cited
• 2022On the Fairness of Causal Algorithmic Recourse55 cited
• 2020Towards Causal Benchmarking of Bias in Face Analysis Algorithms45 cited
• 2020Survey on Causal-based Machine Learning Fairness Notions37 cited
• 2020A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations35 cited

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