A Cross Community Agenda for Speech AI
Speech AI, any AI system that recognizes, transforms, or generates speech, is built and evaluated across two communities with only a small overlap: technical natural language processing (NLP) venues (e.g., ACL, ICASSP, Interspeech), and sociotechnical HCI venues (e.g., ASSETS, CHI, FAccT). In this position paper, we work toward a cross-community synthesis, organizing our critique around three problems: speech AI operates with an incomplete model of communication; it operates with an incomplete model of identity; and its metrics measure the wrong constructs. We draw on AAC as a setting where these failures are most visible and their stakes highest, alongside other underserved speakers - pe...
| Authors | Maria Teleki, Kimi Wenzel, Anna Seo Gyeong Choi et al. |
|---|---|
| Primary category | cs.HC |
| Published | 22 July 2026 |
| Last updated at source | 22 July 2026 |
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