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• Data Representativeness in Accessibility Datasets: A Meta-Analysis

  Rie Kamikubo, Lining Wang, Crystal Marte, Amnah Mahmood, Hernisa Kacorri · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This paper conducts a systematic meta-analysis of demographic representativeness in 190 accessibility datasets — datasets sourced from people with disabilities and older adults — spanning from 1984 to 2021. The authors examine how age, gender, and race and ethnicity are…

  AI fairness · datasets · representation · diversity · inclusion

• The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective

  Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris · 2021 · ACM Transactions on Accessible Computing

  This interdisciplinary paper examines the ethical landscape of AI datasets used for sign language recognition, generation, and translation technologies. Drawing on expertise from deaf community members, sign language linguists, and AI researchers, the authors apply the FATE…

  sign language · AI datasets · deaf community · FATE framework · machine learning

• Artificial Intelligence and the Dignity of Risk

  Emily Shea Tanis, Clayton Lewis · 2020 · SIGACCESS Accessibility and Computing

  This paper examines the dual risks and opportunities that AI-based systems pose for people with cognitive disabilities, framed around the concept of the "dignity of risk" — the right to make self-directed choices about tradeoffs between risks and benefits, including the freedom…

  AI fairness · cognitive disability · dignity of risk · privacy · algorithmic bias

• Using a participatory activities toolkit to elicit privacy expectations of adaptive assistive technologies

  Foad Hamidi, Kellie Poneres, Aaron Massey, Amy Hurst · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This paper addresses a critical but often overlooked tension in assistive technology design: the privacy tradeoff inherent in adaptive assistive technologies (AATs) that must collect and analyze user performance data to function effectively. The authors developed a participatory…

  privacy · assistive technology · adaptive systems · participatory design · essential tremor

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