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Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
16 references·0 citing·32 second hop
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness (2022)Why Fair Labels Can Yield Unfair Predicti…Eddie Murphy and the Dangers of Counterfactual Causal Thinking About Detecting Racial Discrimination (2025)Eddie Murphy and the Dangers …Towards a critical race methodology in algorithmic fairness (2020)Towards a critical race metho…Fairness in Machine Learning (2020)Fairness in Machine LearningPath-Specific Counterfactual Fairness (2019)Path-Specific Counterfactual …Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Balanced Datasets Are Not Eno…A Causal Bayesian Networks Viewpoint on Fairness (2019)A Causal Bayesian Networks Vi…Fairness in Decision-Making — The Causal Explanation Formula (2018)Fairness in Decision-Making —…Causal Reasoning for Algorithmic Fairness (2018)Causal Reasoning for Algorith…When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness (2017)When Worlds Collide: Integrat…Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Men Also Like Shopping: Reduc…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…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Fairness through awareness (2012)Fairness through awarenessSex Bias in Graduate Admissions: Data from Berkeley (1975)Sex Bias in Graduate Admissio…On Simpson's Paradox and the Sure-Thing Principle (1972)9: Integrating Findings: The Meta-Analysis of Research (1977)Evolutionary Personality Psychology (1991)A Survey on Bias and Fairness in Machine Learning (2021)Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Equality of Opportunity in Supervised Learning (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness definitions explained (2018)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Big Data's Disparate Impact (2014)Semantics derived automatically from language corpora contain human-like biases (2017)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Demographic Bias in Biometrics: A Survey on an Emerging Challenge (2020)Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation (2020)American Apartheid: Segregation and the Making of the Underclass. (1993)Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed (1998)Sorting Things Out (1999)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Algorithmic Bias in Education (2021)Dissecting racial bias in an algorithm used to manage the health of populations (2019)A Review on Fairness in Machine Learning (2022)Fairness in Machine Learning: A Survey (2023)50 Years of Test (Un)fairness (2019)Re-imagining Algorithmic Fairness in India and Beyond (2021)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)
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References

  • 2012Fairness through awareness3,545 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores1,433 cited
  • 2017Counterfactual Fairness1,096 cited
  • 2017Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints878 cited
  • 1975Sex Bias in Graduate Admissions: Data from Berkeley680 cited
  • 2017Avoiding Discrimination through Causal Reasoning392 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations359 cited
  • 2020Fairness in Machine Learning299 cited
  • 2020Towards a critical race methodology in algorithmic fairness295 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
  • 2017When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness129 cited
  • 2018Causal Reasoning for Algorithmic Fairness74 cited
  • 2025Eddie Murphy and the Dangers of Counterfactual Causal Thinking About Detecting Racial Discrimination70 cited

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  • 2019A Causal Bayesian Networks Viewpoint on Fairness52 cited
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