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• Beyond Accuracy: Auditing Allocative Harms in Facial-Gesture Recognition for People with Motor Impairments

  Siyu Zhang, Yelu Gu, Kirsten Cater, Oussama Metatla · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper challenges the conventional framing of facial-gesture recognition accuracy as a purely technical property, and reframes it as a sensorimotor alignment problem between user intention and algorithmic interpretation. The authors conducted a mixed-methods empirical study…

  facial gesture recognition · motor impairment · algorithmic fairness · allocative harm · accessibility

• Speech AI for All: The What, How, and Who of Measurement

  Kimi Wenzel, Alisha Pradhan, Maria Teleki, Tobias M. Weinberg, Robin Netzorg, Alyssa Hillary Zisk, Anna Seo Gyeong Choi, Jingjin Li, Raja Kushalnagar, Colin Lea, Abraham Glasser, Christian Vogler, Ly Xinzhen M. Zhangsun Brown, Nan Bernstein Ratner, Allison Koenecke, Karen Nakamura, Shaomei Wu · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) — Workshop

  This CHI 2026 workshop proposal — the second in the organisers' 'Speech AI for All' series — assembles 17 researchers, practitioners, and community advocates to tackle a specific downstream problem in fair and accessible speech AI: measurement. The motivating claim is that…

  speech AI · automatic speech recognition · speech diversity · augmentative and alternative communication · disfluency

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