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A snapshot of the frontiers of fairness in machine learning
16 references·16 citing·21 second hopsampled
A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers of fairness i…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Counterfactual Fairness (2017)Counterfactual FairnessAlgorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Man is to Computer Programmer…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Learning Fair Representations (2013)Learning Fair RepresentationsDiscrimination in online ad delivery (2013)Discrimination in online ad d…Fairness through awareness (2012)Fairness through awarenessThree naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Discrimination-aware data mining (2008)Discrimination-aware data min…The Economics of Discrimination (1957)The Economics of Discriminati…Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review (2024)Toward Fairness, Accountabili…A framework for AI-powered service innovation capability: Review and agenda for future research (2023)A framework for AI-powered se…The future of human behaviour research (2022)The future of human behaviour…Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems (2022)Fairness in Ranking, Part II:…Fairness in Ranking, Part I: Score-Based Ranking (2022)Fairness in Ranking, Part I: …Exploring gender biases in ML and AI academic research through systematic literature review (2022)Exploring gender biases in ML…Disability, fairness, and algorithmic bias in AI recruitment (2022)Disability, fairness, and alg…Algorithmic fairness in business analytics: Directions for research and practice (2022)Algorithmic fairness in busin…Algorithmic fairness datasets: the story so far (2022)Algorithmic fairness datasets…Algorithmic bias in machine learning-based marketing models (2022)Algorithmic bias in machine l…A clarification of the nuances in the fairness metrics landscape (2022)A clarification of the nuance…Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics (2021)Quantifying Social Biases in …Fairness in rankings and recommendations: an overview (2021)Fairness in rankings and reco…Algorithmic reparation (2021)Algorithmic reparationAlgorithmic bias: Senses, sources, solutions (2021)Algorithmic bias: Senses, sou…'Un'Fair Machine Learning Algorithms (2019)'Un'Fair Machine Learning Alg…Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)A Survey on Bias and Fairness in Machine Learning (2021)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Measuring individual differences in implicit cognition: The implicit association test. (1998)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Fairness definitions explained (2018)Machine behaviour (2019)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Chapter 48 Race and gender in the labor market (1999)The Intersection of Gender and Race in the Labor Market (2003)Inside the Family Firm: The Role of Families in Succession Decisions and Performance (2006)
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References

  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2012Fairness through awareness3,501 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 1957The Economics of Discrimination2,818 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2016Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings1,615 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2013Learning Fair Representations1,126 cited
  • 2017Counterfactual Fairness995 cited
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2013Discrimination in online ad delivery751 cited
  • 2008

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Discrimination-aware data mining
676 cited

Cited by

  • 2023A framework for AI-powered service innovation capability: Review and agenda for future research277 cited
  • 2021Algorithmic bias: Senses, sources, solutions274 cited
  • 2022Algorithmic bias in machine learning-based marketing models242 cited
  • 2022A clarification of the nuances in the fairness metrics landscape221 cited
  • 2024Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review171 cited
  • 2022Disability, fairness, and algorithmic bias in AI recruitment148 cited
  • 2021Algorithmic reparation143 cited
  • 2021Fairness in rankings and recommendations: an overview140 cited
  • 2022Algorithmic fairness datasets: the story so far114 cited
  • 2022Exploring gender biases in ML and AI academic research through systematic literature review95 cited
  • 2022Fairness in Ranking, Part I: Score-Based Ranking94 cited
  • 2022Algorithmic fairness in business analytics: Directions for research and practice89 cited
  • 2022Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems87 cited
  • 2022The future of human behaviour research81 cited
  • 2019'Un'Fair Machine Learning Algorithms80 cited
  • 2021Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics72 cited