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Censored and Fair Universal Representations using Generative Adversarial Models
16 references·1 citing·26 second hop
Censored and Fair Universal Representations using Generative Adversarial Models (2019)Censored and Fair Universal Representatio…Flexibly Fair Representation Learning by Disentanglement (2019)Flexibly Fair Representation …Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Eliciting and Enforcing Subjective Individual Fairness. (2019)Eliciting and Enforcing Subje…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Learning Adversarially Fair and Transferable Representations (2018)Learning Adversarially Fair a…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis (2018)Data Pre-Processing for Discr…Provably Fair Representations (2017)Provably Fair RepresentationsPreventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…Optimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness through awareness (2012)Fairness through awarenessDiscrimination-aware data mining (2008)Discrimination-aware data min…Evidence on Discrimination in Mortgage Lending (1998)Evidence on Discrimination in…Fairness Under Feature Exemptions: Counterfactual and Observational Measures (2021)Fairness Under Feature Exempt…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)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Can AI Help Reduce Disparities in General Medical and Mental Health Care? (2019)Introduction to Multi-Armed Bandits (2019)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)'It's Reducing a Human Being to a Percentage' (2018)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Fairness and Abstraction in Sociotechnical Systems (2019)Equity of Attention (2018)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)FairGAN: Fairness-aware Generative Adversarial Networks (2018)A snapshot of the frontiers of fairness in machine learning (2020)A Reductions Approach to Fair Classification (2018)
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References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2008Discrimination-aware data mining676 cited
  • 2018Fairness of Exposure in Rankings607 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention459 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
  • 2018Learning Adversarially Fair and Transferable Representations387 cited
  • 1998Evidence on Discrimination in Mortgage Lending383 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons369 cited
  • 2019Flexibly Fair Representation Learning by Disentanglement186 cited
  • 2019Eliciting and Enforcing Subjective Individual Fairness.37 cited
  • 2018Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis33 cited
  • 2017

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Provably Fair Representations
33 cited

Cited by

  • 2021Fairness Under Feature Exemptions: Counterfactual and Observational Measures11 cited