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Counterfactual Fairness: Unidentification, Bound and Algorithm
5 references·9 citing·33 second hop
Counterfactual Fairness: Unidentification, Bound and Algorithm (2019)Counterfactual Fairness: Unidentification…Path-Specific Counterfactual Fairness (2019)Path-Specific Counterfactual …Fairness in Decision-Making — The Causal Explanation Formula (2018)Fairness in Decision-Making —…Counterfactual Fairness (2017)Counterfactual FairnessAvoiding Discrimination through Causal Reasoning (2017)Avoiding Discrimination throu…A Causal Framework for Discovering and Removing Direct and Indirect Discrimination (2017)A Causal Framework for Discov…Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models (2023)Antidiscrimination Insurance …Standardizing Machine Learning Manuscript Reporting in Otolaryngology‐Head & Neck Surgery (2022)Standardizing Machine Learnin…Optimising Equal Opportunity Fairness in Model Training (2022)Optimising Equal Opportunity …On the Fairness of Causal Algorithmic Recourse (2022)On the Fairness of Causal Alg…A review of causality-based fairness machine learning (2022)A review of causality-based f…A brief review on algorithmic fairness (2022)A brief review on algorithmic…Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder (2021)Counterfactual Fairness with …Fairness through Equality of Effort (2020)Fairness through Equality of …Artificial mental phenomena (2020)Artificial mental phenomenaDiscrimination-aware data mining (2008)Fairness-aware Learning through Regularization Approach (2011)Certifying and Removing Disparate Impact (2015)Achieving Causal Fairness through Generative Adversarial Networks (2019)Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality (2019)Policy advice and best practices on bias and fairness in AI (2024)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A snapshot of the frontiers of fairness in machine learning (2020)Bias and Discrimination in AI: A Cross-Disciplinary Perspective (2021)Algorithmic fairness in education (2022)Structural Equations with Latent Variables (1989)Structural Equations with Latent Variables. (1991)Fair preprocessing: towards understanding compositional fairness of data transformers in machine learning pipeline (2021)Multiobjective Optimization-Based Collective Opinion Generation With Fairness Concern (2023)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)Leverage Generative AI for human resource management: integrated risk analysis approach (2025)ROBOT RECRUITMENT and USE OF ARTIFICIAL INTELLIGENCE IN ESTABLISHING THE EMPLOYMENT RELATIONSHIP (2025)Towards Fair AI: Mitigating Bias in Credit Decisions—A Systematic Literature Review (2025)Justice as Fairness (1958)A clarification of the nuances in the fairness metrics landscape (2022)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Fairness in Agreement With European Values (2022)What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective (2023)Adversarial learning for counterfactual fairness (2022)Learning Fair Representation via Distributional Contrastive Disentanglement (2022)Assessing trustworthy AI: Technical and legal perspectives of fairness in AI (2024)
this work references cited by second hop

References

  • 2017Counterfactual Fairness995 cited
  • 2017Avoiding Discrimination through Causal Reasoning358 cited
  • 2019Path-Specific Counterfactual Fairness246 cited
  • 2018Fairness in Decision-Making — The Causal Explanation Formula202 cited
  • 2017A Causal Framework for Discovering and Removing Direct and Indirect Discrimination158 cited

Cited by

  • 2022A brief review on algorithmic fairness65 cited
  • 2022On the Fairness of Causal Algorithmic Recourse55 cited
  • 2023Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models43 cited
  • 2021Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder43 cited
  • 2022A review of causality-based fairness machine learning24 cited
  • 2020Fairness through Equality of Effort23 cited
  • 2022Optimising Equal Opportunity Fairness in Model Training19 cited
  • 2020Artificial mental phenomena19 cited
  • 2022Standardizing Machine Learning Manuscript Reporting in Otolaryngology‐Head & Neck Surgery10 cited

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