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In-Processing Modeling Techniques for Machine Learning Fairness: A Survey
16 references·6 citing·26 second hop
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey (2022)In-Processing Modeling Techniques for Mac…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Mitigating bias in algorithmic hiring (2020)Mitigating bias in algorithmi…Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Balanced Datasets Are Not Eno…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Fairness in Criminal Justice …Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems (2018)Examining Gender and Race Bia…Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Algorithmic 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…Fairness through awareness (2012)Fairness through awarenessFairness-aware Learning through Regularization Approach (2011)Fairness-aware Learning throu…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Justice as Fairness (1958)Justice as FairnessFairness in AI for healthcare (2024)Fairness in AI for healthcareFairness for machine learning software in education: A systematic mapping study (2024)Fairness for machine learning…Competing narratives in AI ethics: a defense of sociotechnical pragmatism (2024)Competing narratives in AI et…Assessing trustworthy AI: Technical and legal perspectives of fairness in AI (2024)Assessing trustworthy AI: Tec…A scoping review of fair machine learning techniques when using real-world data (2024)A scoping review of fair mach…Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques (2023)Fairness of AI in Predicting …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? Debiasing Word Embeddings (2016)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)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Counterfactual Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Equality of Opportunity (1998)Evolution of the Social Contract (2014)Distributive justice and equity in transportation (2016)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)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 1958Justice as Fairness5,760 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
  • 2018Fairness in Criminal Justice Risk Assessments: The State of the Art986 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
  • 2018Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems384 cited
  • 2011Fairness-aware Learning through Regularization Approach375 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons369 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations

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355 cited

Cited by

  • 2024A scoping review of fair machine learning techniques when using real-world data61 cited
  • 2024Assessing trustworthy AI: Technical and legal perspectives of fairness in AI41 cited
  • 2024Fairness for machine learning software in education: A systematic mapping study30 cited
  • 2024Competing narratives in AI ethics: a defense of sociotechnical pragmatism29 cited
  • 2024Fairness in AI for healthcare26 cited
  • 2023Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques18 cited