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Mitigating Bias in Set Selection with Noisy Protected Attributes
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Mitigating Bias in Set Selection with Noisy Protected Attributes (2021)Mitigating Bias in Set Selection with Noi…Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Fairness-Aware Ranking in Sea…Classification with Fairness Constraints (2019)Classification with Fairness …Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Ranking with Fairness Constraints (2017)Ranking with Fairness Constra…Measuring Fairness in Ranked Outputs (2017)Measuring Fairness in Ranked …FA*IR (2017)FA*IRCounterfactual Fairness (2017)Counterfactual FairnessEquality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Unequal Representation and Gender Stereotypes in Image Search Results for Occupations (2015)Unequal Representation and Ge…Consumer Financial Protection Bureau (2014)Consumer Financial Protection…Reducing Racial And Ethnic Disparities: The Action Plan From The Department Of Health And Human Services (2011)Reducing Racial And Ethnic Di…Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Constructed Criteria (2005)Constructed CriteriaAre Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Are Emily and Greg More Emplo…Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2003)Are Emily and Greg More Emplo…Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools (2023)Toward Operationalizing Pipel…Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets (2023)Skin Deep: Investigating Subj…Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values (2022)Fairness without Imputation: …When Fair Ranking Meets Uncertain Inference (2021)When Fair Ranking Meets Uncer…Fairness in Ranking under Uncertainty (2021)Fairness in Ranking under Unc…The case for motivated reasoning. (1990)The Ambivalent Sexism Inventory: Differentiating hostile and benevolent sexism. (1996)Role congruity theory of prejudice toward female leaders. (2002)Perception and misperception of bias in human judgment (2006)The Nature of Contemporary Prejudice: Insights from Aversive Racism (2009)With malice toward none and charity for some: Ingroup favoritism enables discrimination. (2014)The Economics of Discrimination. (1972)The Statistical Theory of Racism and Sexism. (1972)The Causes and Consequences of Distinctively Black Names (2004)THE THEORY OF DISCRIMINATION (2015)Conceptualizing color-evasiveness: using dis/ability critical race theory to expand a color-blind racial ideology in education and society (2016)Field Experiments on Discrimination (2016)Bias in computer systems (1996)Stereotype Threat and Women's Math Performance (1999)Gender and the Career Choice Process: The Role of Biased Self‐Assessments (2001)Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations (2019)Ethics and discrimination in artificial intelligence-enabled recruitment practices (2023)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Designing Fair Ranking Schemes (2019)Fairwalk: Towards Fair Graph Embedding (2019)iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Getting a Job: Is There a Motherhood Penalty? (2007)8 Social Hierarchy: The Self‐Reinforcing Nature of Power and Status (2008)Instructional manipulation checks: Detecting satisficing to increase statistical power (2009)Culture Of Honor: The Psychology Of Violence In The South (2019)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Equity of Attention (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)
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References

  • 2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination4,498 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2003Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination1,020 cited
  • 2017Counterfactual Fairness995 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2018Fairness of Exposure in Rankings607 cited
  • 2005Constructed Criteria516 cited
  • 2015Unequal Representation and Gender Stereotypes in Image Search Results for Occupations509 cited
  • 2017FA*IR497 cited
  • 2019Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search382 cited
  • 2017Measuring Fairness in Ranked Outputs378 cited
  • 2014Consumer Financial Protection Bureau333 cited
  • 2017Ranking with Fairness Constraints236 cited
  • 2019Classification with Fairness Constraints232 cited
  • 2011

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Reducing Racial And Ethnic Disparities: The Action Plan From The Department Of Health And Human Services
174 cited

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  • 2021When Fair Ranking Meets Uncertain Inference32 cited
  • 2022Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values25 cited
  • 2023Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets22 cited
  • 2023Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools19 cited
  • 2021Fairness in Ranking under Uncertainty18 cited