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Fix Fairness, Don’t Ruin Accuracy: Performance Aware Fairness Repair using AutoML
16 references·0 citing·29 second hop
Fix Fairness, Don’t Ruin Accuracy: Performance Aware Fairness Repair using AutoML (2023)Fix Fairness, Don’t Ruin Accuracy: Perfor…Classification with Fairness Constraints (2019)Classification with Fairness …A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)AI Fairness 360: An Extensibl…Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness in Machine Learning:…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Discretion in Hiring* (2017)Discretion in Hiring*Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Risk assessment in social lending via random forests (2015)Risk assessment in social len…Fairness Constraints: Mechanisms for Fair Classification (2015)Fairness Constraints: Mechani…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Decision Theory for Discrimination-Aware Classification (2012)Decision Theory for Discrimin…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Discrimination-aware data mining (2008)Fairness through awareness (2012)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Trustworthy Artificial Intelligence: A Review (2022)Fairness in Machine Learning: A Survey (2023)Uniform Guidelines on Employee Selection Procedures (2007)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)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)Dilemmas in a general theory of planning (1973)Algorithms at Work: The New Contested Terrain of Control (2019)What Do Platforms Do? Understanding the Gig Economy (2020)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Review on Fairness in Machine Learning (2022)Trustworthy AI: From Principles to Practices (2022)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)
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References

  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 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
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2015Fairness Constraints: Mechanisms for Fair Classification644 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning601 cited
  • 2017Fairness in Machine Learning: Lessons from Political Philosophy500 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2015Risk assessment in social lending via random forests398 cited
  • 2012Decision Theory for Discrimination-Aware Classification300 cited
  • 2017Discretion in Hiring*

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251 cited
  • 2019Classification with Fairness Constraints232 cited
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