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