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A survey on datasets for fairness‐aware machine learning
16 references·16 citing·24 second hopsampled
A survey on datasets for fairness‐aware machine learning (2022)A survey on datasets for fairness‐aware m…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Bias in data‐driven artificia…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 definitions explained (2018)Fairness definitions explainedFair 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…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…A data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessThinking, Fast and Slow (2011)Thinking, Fast and SlowData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Fairness amidst non‐IID graph data: A literature review (2025)Fairness amidst non‐IID graph…Exploring the Intersection of Machine Learning and Big Data: A Survey (2025)Exploring the Intersection of…Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning (2025)Breaking Away From AI: The On…Bias Testing and Mitigation in LLM-based Code Generation (2025)Bias Testing and Mitigation i…Policy advice and best practices on bias and fairness in AI (2024)Policy advice and best practi…Competing narratives in AI ethics: a defense of sociotechnical pragmatism (2024)Competing narratives in AI et…Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML (2024)Can Fairness be Automated? Gu…Are algorithms biased in education? Exploring racial bias in predicting community college student success (2024)Are algorithms biased in educ…A Rank Graduation Box for SAFE AI (2024)A Rank Graduation Box for SAF…A data-centric approach for ethical and trustworthy AI in journalism (2024)A data-centric approach for e…Fairness in Deep Learning: A Survey on Vision and Language Research (2023)Fairness in Deep Learning: A …Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey (2023)Bias Mitigation for Machine L…Algorithmic Decision Making Methods for Fair Credit Scoring (2023)Algorithmic Decision Making M…A step toward building a unified framework for managing AI bias (2023)A step toward building a unif…Longitudinal Fairness with Censorship (2022)Longitudinal Fairness with Ce…Algorithmic fairness datasets: the story so far (2022)Algorithmic fairness datasets…Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)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)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Man is to Computer Programmer as Woman is to Homemaker? 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References

  • 2011Thinking, Fast and Slow14,316 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2012Fairness through awareness3,501 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
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2013Learning Fair Representations1,126 cited
  • 2018Fairness definitions explained1,125 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2017Counterfactual Fairness995 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2014

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A data-driven approach to predict the success of bank telemarketing
875 cited

Cited by

  • 2023Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey222 cited
  • 2022Algorithmic fairness datasets: the story so far114 cited
  • 2024Policy advice and best practices on bias and fairness in AI109 cited
  • 2024A Rank Graduation Box for SAFE AI98 cited
  • 2023Fairness in Deep Learning: A Survey on Vision and Language Research57 cited
  • 2025Exploring the Intersection of Machine Learning and Big Data: A Survey53 cited
  • 2024Are algorithms biased in education? Exploring racial bias in predicting community college student success46 cited
  • 2025Bias Testing and Mitigation in LLM-based Code Generation37 cited
  • 2022Longitudinal Fairness with Censorship35 cited
  • 2024A data-centric approach for ethical and trustworthy AI in journalism30 cited
  • 2024Competing narratives in AI ethics: a defense of sociotechnical pragmatism29 cited
  • 2025Fairness amidst non‐IID graph data: A literature review29 cited
  • 2023Algorithmic Decision Making Methods for Fair Credit Scoring27 cited
  • 2025Breaking Away From AI: The Ontological and Ethical Evolution of Machine Learning25 cited
  • 2024Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML24 cited
  • 2023A step toward building a unified framework for managing AI bias23 cited