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iFlipper: Label Flipping for Individual Fairness
15 references·0 citing·32 second hop
iFlipper: Label Flipping for Individual Fairness (2023)iFlipper: Label Flipping for Individual F…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…The (Im)possibility of fairness (2021)The (Im)possibility of fairne…OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning (2021)OmniFair: A Declarative Syste…Two Simple Ways to Learn Individual Fairness Metrics from Data (2020)Two Simple Ways to Learn Indi…On the apparent conflict between individual and group fairness (2020)On the apparent conflict betw…Operationalizing individual fairness with pairwise fair representations (2019)Operationalizing individual f…Interventional Fairness (2019)Interventional FairnessiFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)iFair: Learning Individually …Fairness definitions explained (2018)Fairness definitions explainedCertifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Big Data's Disparate Impact (2014)Big Data's Disparate ImpactA data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessData preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…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)A framework for marketing management (2000)Decision Support and Business Intelligence Systems (2006)A Review on Fairness in Machine Learning (2022)The effects of data quality on machine learning performance on tabular data (2025)Equality of Opportunity in Supervised Learning (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Algorithmic Bias in Education (2021)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Mapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)What Is the Point of Equality? (1999)An empirical characterization of fair machine learning for clinical risk prediction (2020)A clarification of the nuances in the fairness metrics landscape (2022)Fairness in recommender systems: research landscape and future directions (2023)Grit: Perseverance and passion for long-term goals. (2007)FA*IR (2017)The Fallacy of AI Functionality (2022)Counterfactual Fairness (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Algorithmic Decision Making and the Cost of Fairness (2017)The ethics of algorithms: Mapping the debate (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)
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References

  • 2012Fairness through awareness3,501 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2013Learning Fair Representations1,126 cited
  • 2018Fairness definitions explained1,125 cited
  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2020On the apparent conflict between individual and group fairness312 cited
  • 2021The (Im)possibility of fairness262 cited
  • 2019iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making162 cited
  • 2019Interventional Fairness145 cited
  • 2019Operationalizing individual fairness with pairwise fair representations86 cited
  • 2020Two Simple Ways to Learn Individual Fairness Metrics from Data33 cited
  • 2021OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning30 cited

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