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Enforcing fairness in logistic regression algorithm
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Enforcing fairness in logistic regression algorithm (2020)Enforcing fairness in logistic regression…Fairness Constraints: A Flexible Approach for Fair Classification (2019)Fairness Constraints: A Flexi…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)AI Fairness 360: An Extensibl…On Fairness and Calibration (2017)On Fairness and CalibrationFairer machine learning in the real world: Mitigating discrimination without collecting sensitive data (2017)Fairer machine learning in th…Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability? (2017)Algorithmic Decision-Making B…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…THE THEORY OF DISCRIMINATION (2015)THE THEORY OF DISCRIMINATIONBig Data's Disparate Impact (2014)Big Data's Disparate ImpactFairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Classification with No Discrimination by Preferential Sampling (2010)Classification with No Discri…Classifying without discriminating (2009)Classifying without discrimin…Racism Without Racists: Colorblind Racism and the Persistence of Racial Inequality in the United States (2005)Racism Without Racists: Color…Adverse Impact and Test Validation: A Practitioner's Guide to Valid and Defensible Employment Testing (2005)Adverse Impact and Test Valid…A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models (2025)A Comprehensive Review and Be…Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Bias and Unfairness in Machin…A fair classifier chain for multi‐label bank marketing strategy classification (2021)A fair classifier chain for m…Three naive Bayes approaches for discrimination-free classification (2010)The Filter Bubble: What the Internet Is Hiding from You (2011)Fairness through awareness (2012)Certifying and Removing Disparate Impact (2015)Fairness and Abstraction in Sociotechnical Systems (2019)A Survey on Bias and Fairness in Machine Learning (2021)The Evolution of Deficit Thinking: Educational Thought and Practice (1997)Why Are All The Black Kids Sitting Together In The Cafeteria?: And Other Conversations About Race (1999)Diversity in Everyday Discourse: The Cultural Ambiguities and Consequences of “Happy Talk” (2007)The public health critical race methodology: Praxis for antiracism research (2010)Dis/ability critical race studies (DisCrit): theorizing at the intersections of race and dis/ability (2012)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)The Economics of Discrimination. (1972)Machine behaviour (2019)Book Review: Organizational Behavior: The Logic of Collective Action: Public Goods and the Theory of Groups (1966)The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields (1983)Sorting Things Out (1999)Improving Fairness in Machine Learning Systems (2019)The global landscape of AI ethics guidelines (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Gaydar: Facebook friendships expose sexual orientation (2009)Private traits and attributes are predictable from digital records of human behavior (2013)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Getting a Job: Is There a Motherhood Penalty? (2007)The Gender Wage Gap: Extent, Trends, and Explanations (2017)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fairness definitions explained (2018)
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References

  • 2014Big Data's Disparate Impact3,281 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2015THE THEORY OF DISCRIMINATION1,880 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,428 cited
  • 2011Data preprocessing techniques for classification without discrimination1,344 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,170 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2005Racism Without Racists: Colorblind Racism and the Persistence of Racial Inequality in the United States611 cited
  • 2017On Fairness and Calibration573 cited
  • 2017Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data539 cited
  • 2018AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias437 cited
  • 2009Classifying without discriminating407 cited
  • 2017Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability?251 cited
  • 2019Fairness Constraints: A Flexible Approach for Fair Classification184 cited
  • 2005Adverse Impact and Test Validation: A Practitioner's Guide to Valid and Defensible Employment Testing

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98 cited
  • 2010Classification with No Discrimination by Preferential Sampling78 cited
  • Cited by

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    • 2025A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models11 cited
    • 2021A fair classifier chain for multi‐label bank marketing strategy classification11 cited