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Disaggregated evaluations of AI systems, in which system performance is assessed and reported separately for different groups of people, are conceptually simple.
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How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis and Image Labeling Services
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Google. 2020 · 2020
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Microsoft won’t sell police its facial-recognition technology, following similar moves by Amazon and IBM
Jay Greene. 2020 · 2020
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Towards a critical race methodology in algorithmic fairness. In Proc. of the Conference on Fairness, Accountability, and Transparency (FAT*) . 501–512
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IBM CEO’s Letter to Congress on Racial Justice Reform
IBM. 2020 · 2020
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Racial disparities in automated speech recognition
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A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition. In CHI Workshop on Human-Centered Approaches to Fair and Responsible AI
Forough Poursabzi-Sangdeh, Samira Samadi, Jennifer Wortman Vaughan, and Hanna Wallach. 2020 · 2020
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“What We Can’t Measure, We Can’t Understand”: Challenges to Demographic Data Procurement in the Pursuit of Fairness. In Proc. of the Conf. on Fairness, Accountability, and Transparency (FAccT)
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Illinois Cases To Watch In 2021
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