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DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
11 references·0 citing·46 second hop
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision (2023)DualFair: Fair Representation Learning at…On the apparent conflict between individual and group fairness (2020)On the apparent conflict betw…Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection (2020)Null It Out: Guarding Protect…Fairness Under Unawareness (2019)Fairness Under UnawarenessFairness definitions explained (2018)Fairness definitions explainedAdversarial Removal of Demographic Attributes from Text Data (2018)Adversarial Removal of Demogr…Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness Beyond Disparate Tre…Discretion in Hiring* (2017)Discretion in Hiring*Discrimination in online ad delivery (2013)Discrimination in online ad d…Fairness-Aware Classifier with Prejudice Remover Regularizer (2012)Fairness-Aware Classifier wit…Fairness through awareness (2012)Fairness through awarenessA data-driven software tool for enabling cooperative information sharing among police departments (2002)A data-driven software tool f…Discrimination-aware data mining (2008)Three naive Bayes approaches for discrimination-free classification (2010)Fair, Transparent, and Accountable Algorithmic Decision-making Processes (2017)Trustworthy Artificial Intelligence: A Review (2022)Fairness in Machine Learning: A Survey (2023)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)How to make a decision: The analytic hierarchy process (1990)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)An Empirical Study of Rich Subgroup Fairness for Machine Learning (2019)Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (2019)Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey (2023)Uniform Guidelines on Employee Selection Procedures (2007)Equal Employment Opportunity Commission (2012)The Economics of Privacy (2016)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (2017)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)A Survey on Bias and Fairness in Machine Learning (2021)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)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Semantics derived automatically from language corpora contain human-like biases (2017)Fairness in Deep Learning: A Computational Perspective (2020)Investigating Gender Bias in Language Models Using Causal Mediation Analysis (2020)Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models (2024)Job Matching and the Theory of Turnover (1979)Formal and Real Authority in Organizations (1997)Hiring as Cultural Matching (2012)Teacher applicant hiring and teacher performance: Evidence from DC public schools (2018)Bureaucracy and Development (2022)We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines (2022)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)Mitigating Unwanted Biases with Adversarial Learning (2018)Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies (2021)Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts (2022)Big Data's Disparate Impact (2014)Fairness of Exposure in Rankings (2018)Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)
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References

  • 2012Fairness through awareness3,501 cited
  • 2018Fairness definitions explained1,125 cited
  • 2013Discrimination in online ad delivery751 cited
  • 2012Fairness-Aware Classifier with Prejudice Remover Regularizer694 cited
  • 2017Fairness Beyond Disparate Treatment & Disparate Impact630 cited
  • 2020On the apparent conflict between individual and group fairness312 cited
  • 2020Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection286 cited
  • 2017Discretion in Hiring*251 cited
  • 2018Adversarial Removal of Demographic Attributes from Text Data242 cited
  • 2002A data-driven software tool for enabling cooperative information sharing among police departments194 cited
  • 2019Fairness Under Unawareness150 cited

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