Speech AI for All: Promoting Accessibility, Fairness, Inclusivity, and Equity

Shaomei Wu, Kimi Wenzel, Jingjin Li, Qisheng Li, Alisha Pradhan, Raja Kushalnagar, Colin Lea, Allison Koenecke, Christian Vogler, Mark Hasegawa-Johnson, Norman Makoto Su, Nan Bernstein Ratner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Trained and optimized for typical and fluent speech, speech AI works poorly for people with speech diversities, often interrupting them and misinterpreting their speech. The increasing deployment of speech AI in automated phone menus, AI-conducted job interviews, and everyday devices poses tangible risks to people with speech diversities. To mitigate these risks, this workshop aims to build a multidisciplinary coalition and set the research agenda for fair and accessible speech AI. Bringing together a broad group of academics and practitioners with diverse perspectives, including HCI, AI, and other relevant fields such as disability studies, speech language pathology, and law, this workshop will establish a shared understanding of the technical challenges for fair and accessible speech AI, as well as its ramifications in design, user experience, policy, and society. In addition, the workshop will invite and highlight first-person accounts from people with speech diversities, facilitating direct dialogues and collaboration between speech AI developers and the impacted communities. The key outcomes of this workshop include a summary paper that synthesizes our learnings and outlines the roadmap for improving speech AI for people with speech diversities, as well as a community of scholars, practitioners, activists, and policy makers interested in driving progress in this domain.

Original languageEnglish (US)
Title of host publicationCHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400713958
DOIs
StatePublished - Apr 26 2025
Event2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 - Yokohama, Japan
Duration: Apr 26 2025May 1 2025

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
Country/TerritoryJapan
CityYokohama
Period4/26/255/1/25

Keywords

  • AI FATE
  • accessibility
  • automatic speech recognition
  • disability
  • speech diversity
  • speech technology

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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