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The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
12 references·5 citing·34 second hop
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding (2019)The Sensitivity of Counterfactual Fairnes…Path-Specific Counterfactual Fairness (2019)Path-Specific Counterfactual …Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Causal Reasoning for Algorithmic Fairness (2018)Causal Reasoning for Algorith…When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness (2017)When Worlds Collide: Integrat…Counterfactual Fairness (2017)Counterfactual FairnessAvoiding Discrimination through Causal Reasoning (2017)Avoiding Discrimination throu…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessClassifying without discriminating (2009)Classifying without discrimin…Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research (2023)Approaches to Improve Fairnes…Adversarial learning for counterfactual fairness (2022)Adversarial learning for coun…Causal Intersectionality and Fair Ranking (2020)Causal Intersectionality and …Causal inference for social discrimination reasoning (2020)Causal inference for social d…Artificial mental phenomena (2020)Artificial mental phenomenaDiscrimination-aware data mining (2008)Three naive Bayes approaches for discrimination-free classification (2010)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Trustworthy Artificial Intelligence: A Review (2022)Fairness in Machine Learning: A Survey (2023)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness of Exposure in Rankings (2018)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Discrimination Aware Decision Tree Learning (2010)FairGAN: Fairness-aware Generative Adversarial Networks (2018)Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)Algorithmic Decision Making and the Cost of Fairness (2017)Fairness definitions explained (2018)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)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)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality (2019)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)
this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Counterfactual Fairness995 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2009Classifying without discriminating403 cited
  • 2017Avoiding Discrimination through Causal Reasoning358 cited
  • 2019Path-Specific Counterfactual Fairness246 cited
  • 2017When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness129 cited
  • 2018Causal Reasoning for Algorithmic Fairness74 cited

Cited by

  • 2022Adversarial learning for counterfactual fairness27 cited
  • 2020Artificial mental phenomena19 cited
  • 2020Causal Intersectionality and Fair Ranking16 cited
  • 2023Approaches to Improve Fairness when Deploying AI-based Algorithms in Hiring – Using a Systematic Literature Review to Guide Future Research

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15 cited
  • 2020Causal inference for social discrimination reasoning15 cited