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Fairness-aware machine learning seeks to maximise utility in generating predictions while avoiding unfair discrimination based on sensitive attributes such as race, sex, religion, etc.
Auditing and Achieving Intersectional Fairness in Classification Problems
Morina, G.; Oliinyk, V.; Waton, J.; Marusic, I.; and Georgatzis, K. 2019 · 1911
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An Intersectional Definition of Fairness
Foulds, J. R.; Islam, R.; Keya, K. N.; and Pan, S. 2020 · 1921
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Integration, Affirmative Action, and Strict Scrutiny
Anderson, E. 2003 · 2003
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Best Practices or Best Guesses? Assessing the Efficacy of Corporate Affirmative Action and Diversity Policies
Kalev, A.; Dobbin, F.; and Kelly, E. 2006 · 2006
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Beyond Individual and Group Fairness
Awasthi, P.; Cortes, C.; Mansour, Y.; and Mohri, M. 2020 · 2008
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Three naive Bayes approaches for discrimination-free classification
Calders, T.; and Verwer, S. 2010 · 2010
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Random one-dependence estimators
Jiang, L. 2011 · 2011
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Fairness through Awareness
Dwork, C.; Hardt, M.; Pitassi, T.; Reingold, O.; and Zemel, R. 2012 · 2012
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Fairness-Aware Classifier with Prejudice Remover Regularizer
Kamishima, T.; Akaho, S.; Asoh, H.; and Sakuma, J. 2012 · 2012
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The Independence of Fairness-Aware Classifiers
Kamishima, T.; Akaho, S.; Asoh, H.; and Sakuma, J. 2013 · 2013
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Certifying and Removing Disparate Impact
Feldman, M.; Friedler, S. A.; Moeller, J.; Scheidegger, C.; and Venkatasubramanian, S. 2015 · 2015
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On the (im)possibility of fairness
Friedler, S. A.; Scheidegger, C.; and Venkatasubramanian, S. 2016 · 2016
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Equality of Opportunity in Supervised Learning
Hardt, M.; Price, E.; and Srebro, N. 2016 · 2016
Cited alongside, same era.
Inherent Trade-Offs in the Fair Determination of Risk Scores
Kleinberg, J.; Mullainathan, S.; and Raghavan, M. 2017 · 2017
Cited alongside, same era.
On conditional parity as a notion of non-discrimination in machine learning
Ritov, Y.; Sun, Y.; and Zhao, R. 2017 · 2017
Cited alongside, same era.
Fairness Constraints: Mechanisms for Fair Classification
Zafar, M. B.; Valera, I.; Rogriguez, M. G.; and Gummadi, K. P. 2017 · 2017
Cited alongside, same era.
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
Zhao, J.; Wang, T.; Yatskar, M.; Ordonez, V.; and Chang, K. 2017 · 2017
Cited alongside, same era.
A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity
Heidari, H.; Loi, M.; Gummadi, K. P.; and Krause, A. 2019 · 2019
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Downstream Effects of Affirmative Action
Kannan, S.; Roth, A.; and Ziani, J. 2019 · 2019
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Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier
Niazi, K. A. K.; Akhtar, W.; Khan, H. A.; Yang, Y.; and Athar, S. 2019 · 2019
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A Collaborative Filtering Approach Based on Naïve Bayes Classifier
Valdiviezo-Diaz, P.; Ortega, F.; Cobos, E.; and Lara-Cabrera, R. 2019 · 2019
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General Fair Empirical Risk Minimization
Oneto, L.; Donini, M.; and Pontil, M. 2020 · 2020
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A Reductions Approach to Fair Classification
Agarwal, A.; Beygelzimer, A.; Dudik, M.; Langford, J.; and Wallach, H. 2018 · 2018
Cited alongside, same era.
On Preserving Non-Discrimination When Combining Expert Advice
Blum, A.; Gunasekar, S.; Lykouris, T.; and Srebro, N. 2018 · 2018
Cited alongside, same era.
Empirical Risk Minimization under Fairness Constraints
Donini, M.; Oneto, L.; Ben-David, S.; Shawe-Taylor, J.; and Pontil, M. 2018 · 2018
Cited alongside, same era.
Prediction of Slope Stability using Naive Bayes Classifier
Feng, X.; Li, S.; Yuan, C.; Zeng, P.; and Sun, Y. 2018 · 2018
Cited alongside, same era.
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Kearns, M.; Neel, S.; Roth, A.; and Wu, Z. S. 2018 · 2018
Cited alongside, same era.
Fairness and Machine Learning
Barocas, S.; Hardt, M.; and Narayanan, A. 2019 · 2019
Cited alongside, same era.
A Comparative Study of Fairness-Enhancing Interventions in Machine Learning
Friedler, S. A.; Scheidegger, C.; Venkatasubramanian, S.; Choudhary, S.; Hamilton, E. P.; and Roth, D. 2019 · 2019
Cited alongside, same era.
Ding, F.; Hardt, M.; Miller, J.; and Schmidt, L. 2021 · 2021
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On the Moral Justification of Statistical Parity
Hertweck, C.; Heitz, C.; and Loi, M. 2021 · 2021
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Causal Multi-Level Fairness
Mhasawade, V.; and Chunara, R. 2021 · 2021
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Group Fairness: Independence Revisited
Räz, T. 2021 · 2021
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Fairness Violations and Mitigation under Covariate Shift
Singh, H.; Singh, R.; Mhasawade, V.; and Chunara, R. 2021 · 2021
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Avoiding Disparity Amplification under Different Worldviews
Yeom, S.; and Tschantz, M. C. 2021 · 2021
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