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Achieving Long-Term Fairness in Sequential Decision Making
16 references·0 citing·43 second hop
Achieving Long-Term Fairness in Sequential Decision Making (2022)Achieving Long-Term Fairness in Sequentia…Fairness in Machine Learning: A Survey (2023)Fairness in Machine Learning:…Fairness in Learning-Based Sequential Decision Algorithms: A Survey (2021)Fairness in Learning-Based Se…Performative Prediction (2020)Performative PredictionOn Convexity and Bounds of Fairness-aware Classification (2019)On Convexity and Bounds of Fa…Delayed Impact of Fair Machine Learning (2019)Delayed Impact of Fair Machin…Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms (2019)Causal Modeling-Based Discrim…Causal Modeling for Fairness in Dynamical Systems (2019)Causal Modeling for Fairness …Fairness Under Composition (2018)Fairness Under CompositionA Short-term Intervention for Long-term Fairness in the Labor Market (2018)A Short-term Intervention for…Counterfactual Fairness (2017)Counterfactual FairnessAchieving Non-Discrimination in Data Release (2017)Achieving Non-Discrimination …A Causal Framework for Discovering and Removing Direct and Indirect Discrimination (2017)A Causal Framework for Discov…Impartial Predictive Modeling: Ensuring Fairness in Arbitrary Models (2016)Impartial Predictive Modeling…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Learning Fair Representations (2013)Learning Fair RepresentationsThe comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Fairness through awareness (2012)Algorithmic Decision Making and the Cost of Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Discrimination-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)The Economics of Discrimination. (1972)Job Market Signaling (1973)From Fair Decision Making To Social Equality (2019)How Do Classifiers Induce Agents to Invest Effort Strategically? (2019)Algorithmic Fairness (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)An empirical characterization of fair machine learning for clinical risk prediction (2020)Fairness in credit scoring: Assessment, implementation and profit implications (2021)Evaluation and Mitigation of Racial Bias in Clinical Machine Learning Models: Scoping Review (2022)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Do economists make markets?: on the performativity of economics (2007)Fairness Without Demographics in Repeated Loss Minimization (2018)The Social Cost of Strategic Classification (2019)The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning (2022)Against Predictive Optimization: On the Legitimacy of Decision-making Algorithms That Optimize Predictive Accuracy (2023)Assessing political bias in large language models (2025)CRITICAL QUESTIONS FOR BIG DATA (2012)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)A Survey on Bias and Fairness in Machine Learning (2021)An Overview of Artificial Intelligence Ethics (2022)Trustworthy AI: From Principles to Practices (2022)Considerations for addressing bias in artificial intelligence for health equity (2023)Improving fairness in machine learning systems: What do industry practitioners need? (2018)Understanding and Mitigating Annotation Bias in Facial Expression Recognition (2021)
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References

  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2013Learning Fair Representations1,126 cited
  • 2017Counterfactual Fairness995 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2023Fairness in Machine Learning: A Survey645 cited
  • 2019Delayed Impact of Fair Machine Learning211 cited
  • 2017A Causal Framework for Discovering and Removing Direct and Indirect Discrimination158 cited
  • 2018A Short-term Intervention for Long-term Fairness in the Labor Market133 cited
  • 2018Fairness Under Composition91 cited
  • 2020Performative Prediction82 cited
  • 2017Achieving Non-Discrimination in Data Release62 cited
  • 2019Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms51 cited
  • 2019On Convexity and Bounds of Fairness-aware Classification41 cited
  • 2021Fairness in Learning-Based Sequential Decision Algorithms: A Survey41 cited
  • 2019Causal Modeling for Fairness in Dynamical Systems28 cited
  • 2016Impartial Predictive Modeling: Ensuring Fairness in Arbitrary Models

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