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We present a large-scale study of gender bias in occupation classification, a task where the use of machine learning may lead to negative outcomes on peoples' lives.
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Hierarchical attention networks for document classification. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 1480–1489
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Measuring fairness in ranked outputs. In Proceedings of the 29th International Conference on Scientific and Statistical Database Management . 22
Ke Yang and Julia Stoyanovich. 2017 · 2017
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FA*IR: A fair top-k ranking algorithm. In Proceedings of the ACM Conference on Information and Knowledge Management . 1569–1578
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Equity of Attention: Amortizing Individual Fairness in Rankings
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Are There Gender Differences in Professional Self-Promotion? An Empirical Case Study of LinkedIn Profiles Among Recent MBA Graduates. In ICWSM . 460–463
Kristen M Altenburger, Rajlakshmi De, Kaylyn Frazier, Nikolai Avteniev, and Jim Hamilton. 2017 · 2017
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Field Experiments on Discrimination
Marianne Bertrand and Esther Duflo. 2017 · 2017
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Su Lin Blodgett and Brendan O’Connor. 2017 · 2017
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Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J Bryson, and Arvind Narayanan. 2017 · 2017
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Measuring and Mitigating Unintended Bias in Text Classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2017 · 2017
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Avoiding discrimination through causal reasoning. In Advances in Neural Information Processing Systems . 656–666
Niki Kilbertus, Mateo Rojas Carulla, Giambattista Parascandolo, Moritz Hardt, Dominik Janzing, and Bernhard Schölkopf. 2017 · 2017
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Cynthia Dwork and Christina Ilvento. 2018 · 2018
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Decoupled classifiers for group-fair and efficient machine learning. In Conference on Fairness, Accountability and Transparency . 119–133
Cynthia Dwork, Nicole Immorlica, Adam Tauman Kalai, and Mark DM Leiserson. 2018 · 2018
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Word embeddings quantify 100 years of gender and ethnic stereotypes
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Building Representative Talent Search at LinkedIn. (October 2018)
Sahin Cem Geyik and Krishnaram Kenthapadi. October 2018 · 2018
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Indirect Discrimination and the Duty to Avoid Compounding Injustice
Deborah Hellman. 2018 · 2018
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Algorithmic fairness. In AEA Papers and Proceedings , Vol. 108. 22–27
Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan, and Ashesh Rambachan. 2018 · 2018
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Advances in Pre-Training Distributed Word Representations. In Proceedings of the International Conference on Language Resources and Evaluation (LREC 2018)
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, and Armand Joulin. 2018 · 2018
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Gender bias in coreference resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018 · 2018
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The Power of Language: Gender, Status, and Agency in Performance Evaluations
David G Smith, Judith E Rosenstein, Margaret C Nikolov, and Darby A Chaney. 2018 · 2018
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Gender bias in coreference resolution: Evaluation and debiasing methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2018 · 2018
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