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Re-imagining Algorithmic Fairness in India and Beyond


Jan 27, 2021
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran

* Proceedings of the 2021 conference on Fairness, Accountability, and Transparency 

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Non-portability of Algorithmic Fairness in India


Dec 08, 2020
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran

* Part of the Navigating the Broader Impacts of AI Research Workshop at NeurIPS 2020 

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Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives


Dec 08, 2020
Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi


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Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure


Oct 23, 2020
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell


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Social Biases in NLP Models as Barriers for Persons with Disabilities


May 02, 2020
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

* ACL 2020 
* ACL 2020 short paper. 5 pages 

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Diversity and Inclusion Metrics in Subset Selection


Feb 09, 2020
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern

* AIES 2020: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 

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Advances and Open Problems in Federated Learning


Dec 10, 2019
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Keith Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konečný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao


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Perturbation Sensitivity Analysis to Detect Unintended Model Biases


Oct 09, 2019
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell

* EMNLP 2019 Short Paper 

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Detecting Bias with Generative Counterfactual Face Attribute Augmentation


Jun 18, 2019
Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru

* Presented at CVPR 2019 Workshop on Fairness Accountability Transparency and Ethics in Computer Vision 

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50 Years of Test (Un)fairness: Lessons for Machine Learning


Dec 03, 2018
Ben Hutchinson, Margaret Mitchell

* FAT* '19: Conference on Fairness, Accountability, and Transparency (FAT* '19), January 29--31, 2019, Atlanta, GA, USA 

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