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Non-Discriminatory Machine Learning Through Convex Fairness Criteria
16 references·2 citing·35 second hop
Non-Discriminatory Machine Learning Through Convex Fairness Criteria (2018)Non-Discriminatory Machine Learning Throu…Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Social Data: Biases, Methodol…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Fairness in Learning: Classic and Contextual Bandits (2016)Fairness in Learning: Classic…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 Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Automated Experiments on Ad Privacy Settings (2015)Automated Experiments on Ad P…Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls (2014)Big Questions for Social Medi…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactFairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessThe Price of Fairness (2011)The Price of FairnessData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Classifying without discriminating (2009)Classifying without discrimin…Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)Algorithmic fairness in artif…Fair Assortment Planning (2022)Fair Assortment PlanningDesign of Experiments (1936)Discrimination in online ad delivery (2013)Learning Fair Representations (2013)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability (2016)Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)Princeton University Press (2017)Computational Social Science (2009)CRITICAL QUESTIONS FOR BIG DATA (2012)Social Media and the Decision to Participate in Political Protest: Observations From Tahrir Square (2012)Algorithms at Work: The New Contested Terrain of Control (2019)Fake news on Twitter during the 2016 U.S. presidential election (2019)Discrimination-aware data mining (2008)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Birds of a Feather: Homophily in Social Networks (2001)Designing and Conducting Mixed Methods Research (2007)Constructing grounded theory (2014)A Survey of Fake News (2020)Algorithmic Bias in Education (2021)Gaydar: Facebook friendships expose sexual orientation (2009)Private traits and attributes are predictable from digital records of human behavior (2013)The ethics of algorithms: Mapping the debate (2016)Social determinants of health inequalities (2005)Dissecting racial bias in an algorithm used to manage the health of populations (2019)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Bias recognition and mitigation strategies in artificial intelligence healthcare applications (2025)The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence (2025)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)On the Opportunities and Risks of Foundation Models (2021)
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References

  • 2012Fairness through awareness3,545 cited
  • 2014Big Data's Disparate Impact3,281 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores1,433 cited
  • 2011Data preprocessing techniques for classification without discrimination1,344 cited
  • 2015Automated Experiments on Ad Privacy Settings870 cited
  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries793 cited
  • 2014Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls779 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification713 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2011The Price of Fairness675 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2009Classifying without discriminating407 cited
  • 2016

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Fairness in Learning: Classic and Contextual Bandits
199 cited

Cited by

  • 2023Algorithmic fairness in artificial intelligence for medicine and healthcare858 cited
  • 2022Fair Assortment Planning12 cited