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Inherent Trade-Offs in Algorithmic Fairness
11 references·16 citing·28 second hop
Inherent Trade-Offs in Algorithmic Fairness (2018)Inherent Trade-Offs in Algorithmic Fairne…On Fairness and Calibration (2017)On Fairness and CalibrationFair 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…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks" (2016)False Positives, False Negati…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactFairness through awareness (2012)Fairness through awarenessThe difference: how the power of diversity creates better groups, firms, schools, and societies (2007)The difference: how the power…Groups of diverse problem solvers can outperform groups of high-ability problem solvers (2004)Groups of diverse problem sol…Human Autonomy at Risk? An Analysis of the Challenges from AI (2024)Human Autonomy at Risk? An An…The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other? (2022)The US Algorithmic Accountabi…The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design (2022)The Model Card Authoring Tool…REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets (2022)REVISE: A Tool for Measuring …In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction (2022)In Pursuit of Interpretable, …Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits (2022)Exploring How Machine Learnin…Conceptualising fairness: three pillars for medical algorithms and health equity (2022)Conceptualising fairness: thr…Algorithmic fairness in business analytics: Directions for research and practice (2022)Algorithmic fairness in busin…The Cost of Fairness in AI: Evidence from E-Commerce (2021)The Cost of Fairness in AI: E…Fair Bayesian Optimization (2021)Fair Bayesian OptimizationCommunity-in-the-loop: towards pluralistic value creation in AI, or—why AI needs business ethics (2021)Community-in-the-loop: toward…Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science (2020)Theory In, Theory Out: The Us…REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets (2020)REVISE: A Tool for Measuring …Unlocking Fairness: a Trade-off Revisited (2019)Unlocking Fairness: a Trade-o…Human Decision Making with Machine Assistance (2019)Human Decision Making with Ma…Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems (2019)Fairness in Algorithmic Decis…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)Human Problem Solving (1972)Human Inference: Strategies and Shortcomings of Social Judgment. (1983)Tweeting From Left to Right (2015)Delphi Technique in Health Sciences: A Map (2020)On the Opportunities and Risks of Foundation Models (2021)E Pluribus Unum : Diversity and Community in the Twenty‐first Century The 2006 Johan Skytte Prize Lecture (2007)Does Diversity Pay?: Race, Gender, and the Business Case for Diversity (2009)Why are some STEM fields more gender balanced than others? (2016)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)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)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Machine behaviour (2019)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)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)AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)The Measure and Mismeasure of Fairness (2018)Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)The ethics of algorithms: Mapping the debate (2016)
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
  • 2007The difference: how the power of diversity creates better groups, firms, schools, and societies2,281 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2004Groups of diverse problem solvers can outperform groups of high-ability problem solvers2,103 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2016Inherent Trade-Offs in the Fair Determination of Risk Scores942 cited
  • 2017On Fairness and Calibration509 cited
  • 2016False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks"242 cited

Cited by

  • 2019Human Decision Making with Machine Assistance113 cited
  • 2022In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction101 cited
  • 2022Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits99 cited

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2022
Algorithmic fairness in business analytics: Directions for research and practice
89 cited
  • 2022The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?88 cited
  • 2024Human Autonomy at Risk? An Analysis of the Challenges from AI81 cited
  • 2022REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets77 cited
  • 2022Conceptualising fairness: three pillars for medical algorithms and health equity76 cited
  • 2019Unlocking Fairness: a Trade-off Revisited75 cited
  • 2020REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets72 cited
  • 2021Fair Bayesian Optimization65 cited
  • 2020Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science58 cited
  • 2021Community-in-the-loop: towards pluralistic value creation in AI, or—why AI needs business ethics57 cited
  • 2019Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems55 cited
  • 2021The Cost of Fairness in AI: Evidence from E-Commerce44 cited
  • 2022The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design44 cited