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SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
16 references·1 citing·43 second hop
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness (2020)SenSeI: Sensitive Set Invariance for Enfo…Training individually fair ML models with Sensitive Subspace Robustness (2019)Training individually fair ML…Quantifying Distributional Model Risk via Optimal Transport (2019)Quantifying Distributional Mo…Metric Learning for Individual Fairness (2019)Metric Learning for Individua…iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)iFair: Learning Individually …Counterfactual Fairness in Text Classification through Robustness (2019)Counterfactual Fairness in Te…Bias in Bios (2019)Bias in BiosOnline Learning with an Unknown Fairness Metric (2018)Online Learning with an Unkno…Measuring and Mitigating Unintended Bias in Text Classification (2018)Measuring and Mitigating Unin…Learning Adversarially Fair and Transferable Representations (2018)Learning Adversarially Fair a…Fairness Through Computationally-Bounded Awareness (2018)Fairness Through Computationa…Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…Field Experiments on Discrimination (2016)Field Experiments on Discrimi…Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessAre Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Are Emily and Greg More Emplo…Regulatory Instruments for Fair Personalized Pricing (2022)Regulatory Instruments for Fa…Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Nature of Prejudice (1954)Measuring individual differences in implicit cognition: The implicit association test. (1998)An Integrative Theory of Intergroup Conflict (2000)Coase Lecture – The Glass Ceiling (2018)The contact hypothesis re-evaluated (2018)Do Some Countries Discriminate More than Others? Evidence from 97 Field Experiments of Racial Discrimination in Hiring (2019)Modelling Extremal Events (1997)The Price of Robustness (2004)Robust Optimization (2009)On distributionally robust chance constrained programs with Wasserstein distance (2019)Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach (2021)Technical Note—Data-Driven Chance Constrained Programs over Wasserstein Balls (2022)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness of Exposure in Rankings (2018)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)Equality of Opportunity in Supervised Learning (2016)FairGAN: Fairness-aware Generative Adversarial Networks (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)A snapshot of the frontiers of fairness in machine learning (2020)Certifying and Removing Disparate Impact (2015)Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020)Fairness in Machine Learning: A Survey (2023)Word embeddings quantify 100 years of gender and ethnic stereotypes (2018)Social Biases in NLP Models as Barriers for Persons with Disabilities (2020)Problematic Machine Behavior (2021)Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale (2023)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)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Can AI Help Reduce Disparities in General Medical and Mental Health Care? (2019)Introduction to Multi-Armed Bandits (2019)
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References

  • 2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination4,498 cited
  • 2012Fairness through awareness3,501 cited
  • 2013Learning Fair Representations1,126 cited
  • 2016Field Experiments on Discrimination927 cited
  • 2018Measuring and Mitigating Unintended Bias in Text Classification668 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
  • 2018Learning Adversarially Fair and Transferable Representations387 cited
  • 2019Quantifying Distributional Model Risk via Optimal Transport352 cited
  • 2019Bias in Bios337 cited
  • 2019Counterfactual Fairness in Text Classification through Robustness200 cited
  • 2019iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making162 cited
  • 2018Fairness Through Computationally-Bounded Awareness89 cited
  • 2018Online Learning with an Unknown Fairness Metric73 cited
  • 2019Metric Learning for Individual Fairness68 cited

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2019
Training individually fair ML models with Sensitive Subspace Robustness
57 cited

Cited by

  • 2022Regulatory Instruments for Fair Personalized Pricing11 cited