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"What We Can't Measure, We Can't Understand": Challenges to Demographic
Data Procurement in the Pursuit of Fairness

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"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness

Conference on Fairness, Accountability and Transparency (FAccT), 2020

30 October 2020

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Papers citing ""What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness"

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Challenges in Detoxifying Language Models Johannes Welbl Amelia Glaese J. Uesato Sumanth Dathathri John F. J. Mellor Lisa Anne Hendricks Kirsty Anderson Pushmeet Kohli Ben Coppin Po-Sen Huang LM&MA 421 219 0 15 Sep 2021
Demystifying the Draft EU Artificial Intelligence ActComputer Law Review International (CLR), 2021 Michael Veale Frederik J. Zuiderveen Borgesius 247 435 0 08 Jul 2021
Targeted Active Learning for Bayesian Decision-Making Louis Filstroff Iiris Sundin P. Mikkola A. Tiulpin Juuso Kylmäoja Samuel Kaski 137 5 0 08 Jun 2021
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency Kyra Yee U. Tantipongpipat Shubhanshu Mishra 182 55 0 18 May 2021
When Fair Ranking Meets Uncertain InferenceAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 Avijit Ghosh Ritam Dutt Christo Wilson 213 50 0 05 May 2021
Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and TradeoffsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 Solon Barocas Anhong Guo Ece Kamar J. Krones Meredith Ringel Morris Jennifer Wortman Vaughan Duncan Wadsworth Hanna M. Wallach 147 87 0 10 Mar 2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer CommunitiesAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 162 104 0 03 Feb 2021
Estimating Example Difficulty Using Variance of GradientsComputer Vision and Pattern Recognition (CVPR), 2020 Chirag Agarwal Daniel D'souza Sara Hooker 446 122 0 26 Aug 2020
Using Noisy Self-Reports to Predict Twitter User DemographicsInternational Workshop on Natural Language Processing for Social Media (NLPSM), 2020 Zach Wood-Doughty Paiheng Xu Xiao-Chang Liu Mark Dredze 108 21 0 01 May 2020