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Path-Specific Counterfactual Fairness
2 references·16 citing·35 second hop
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References

  • 2017Counterfactual Fairness995 cited
  • 2017Avoiding Discrimination through Causal Reasoning358 cited

Cited by

  • 2022A clarification of the nuances in the fairness metrics landscape221 cited
  • 2023AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications155 cited
  • 2019Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality87 cited
  • 2024Fairness issues, current approaches, and challenges in machine learning models83 cited
  • 2022Learning Fair Node Representations with Graph Counterfactual Fairness80 cited
  • 2024A causal perspective on dataset bias in machine learning for medical imaging78 cited
  • 2019Achieving Causal Fairness through Generative Adversarial Networks76 cited
  • 2019Counterfactual Fairness: Unidentification, Bound and Algorithm73 cited
  • 2021On the Applicability of Machine Learning Fairness Notions72 cited
  • 2023Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices65 cited
  • 2022A brief review on algorithmic fairness65 cited
  • 2020Perfectly parallel fairness certification of neural networks62 cited
  • 2021Machine learning fairness notions: Bridging the gap with real-world applications

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60 cited
  • 2022On the Fairness of Causal Algorithmic Recourse55 cited
  • 2022D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias53 cited
  • 2019A Causal Bayesian Networks Viewpoint on Fairness52 cited