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Measuring discrimination in algorithmic decision making
13 references·16 citing·23 second hop
Measuring discrimination in algorithmic decision making (2017)Measuring discrimination in algorithmic d…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…THE THEORY OF DISCRIMINATION (2015)THE THEORY OF DISCRIMINATIONCertifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactLearning Fair Representations (2013)Learning Fair RepresentationsA multidisciplinary survey on discrimination analysis (2013)A multidisciplinary survey on…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessA Methodology for Direct and Indirect Discrimination Prevention in Data Mining (2012)A Methodology for Direct and …Three naive Bayes approaches for discrimination-free classification (2010)Three naive Bayes approaches …Discrimination Aware Decision Tree Learning (2010)Discrimination Aware Decision…Discrimination-aware data mining (2008)Discrimination-aware data min…Policy advice and best practices on bias and fairness in AI (2024)Policy advice and best practi…“Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation (2023)“Shortcuts” Causing Bias in R…A survey on datasets for fairness‐aware machine learning (2022)A survey on datasets for fair…The (Im)possibility of fairness (2021)The (Im)possibility of fairne…Discrimination in the age of artificial intelligence (2021)Discrimination in the age of …A sociotechnical view of algorithmic fairness (2021)A sociotechnical view of algo…Using Artificial Intelligence to classify Jobseekers: The Accuracy-Equity Trade-off (2020)Using Artificial Intelligence…Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities (2020)Predictably unequal: understa…Designing fair AI for managing employees in organizations: a review, critique, and design agenda (2020)Designing fair AI for managin…Understanding artificial intelligence ethics and safety (2019)Understanding artificial inte…Designing Fair Ranking Schemes (2019)Designing Fair Ranking SchemesDemocratizing Algorithmic Fairness (2019)Democratizing Algorithmic Fai…Classification with Fairness Constraints (2019)Classification with Fairness …Big Data and discrimination: perils, promises and solutions. A systematic review (2019)Big Data and discrimination: …Bias Mitigation Post-processing for Individual and Group Fairness (2019)Bias Mitigation Post-processi…Value-Sensitive Algorithm Design (2018)Value-Sensitive Algorithm Des…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)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Chapter 48 Race and gender in the labor market (1999)Orchestrating Impartiality: The Impact of “Blind” Auditions on Female Musicians (2000)Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2003)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Trustworthy Artificial Intelligence: A Review (2022)Fairness in Machine Learning: A Survey (2023)'It's Reducing a Human Being to a Percentage' (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)
this work references cited by second hop

References

  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2015THE THEORY OF DISCRIMINATION1,804 cited
  • 2013Learning Fair Representations1,126 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2008Discrimination-aware data mining676 cited
  • 2012A Methodology for Direct and Indirect Discrimination Prevention in Data Mining308 cited
  • 2010Discrimination Aware Decision Tree Learning303 cited
  • 2013A multidisciplinary survey on discrimination analysis288 cited

Cited by

  • 2020Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities274 cited
  • 2020Designing fair AI for managing employees in organizations: a review, critique, and design agenda268 cited

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  • 2021The (Im)possibility of fairness262 cited
  • 2022A survey on datasets for fairness‐aware machine learning261 cited
  • 2019Classification with Fairness Constraints232 cited
  • 2018Value-Sensitive Algorithm Design226 cited
  • 2019Big Data and discrimination: perils, promises and solutions. A systematic review186 cited
  • 2019Democratizing Algorithmic Fairness182 cited
  • 2021A sociotechnical view of algorithmic fairness163 cited
  • 2019Designing Fair Ranking Schemes159 cited
  • 2019Understanding artificial intelligence ethics and safety145 cited
  • 2019Bias Mitigation Post-processing for Individual and Group Fairness135 cited
  • 2023“Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation124 cited
  • 2021Discrimination in the age of artificial intelligence121 cited
  • 2020Using Artificial Intelligence to classify Jobseekers: The Accuracy-Equity Trade-off111 cited
  • 2024Policy advice and best practices on bias and fairness in AI109 cited