Jingjin Li

December 22, 2025
December 22, 2025
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The Social and Technical Values of a Grassroots Chinese Stuttered Speech Dataset

Our work “Our Collective Voices: The Social and Technical Values of a Grassroots Chinese Stuttered Speech Dataset” was published at ACM Conference on Fairness, Accountability, and Transparency (FAccT 2025), a leading interdisciplinary conference that brings together researchers, practitioners, and policymakers to examine the social, ethical, and political impacts of AI […]
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March 10, 2025
March 10, 2025
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Stuttered Speech Data for Stutterers, with Stutterers, by Stutterers: Insights from Stuttering Advocates

Automatic Speech Recognition (ASR) systems have long struggled to accurately recognize and process stuttered speech, largely due to their training on fluency-biased datasets. As a result, people who stutter (PWS) frequently encounter challenges when using voice-activated technologies, automated transcription services, and other speech-based AI tools. This lack of inclusivity and […]
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March 5, 2025
March 5, 2025
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AImpower x UC Santa Cruz Designathon: Innovating for Community-Led AI Initiatives

Summary and reflection on the recent design challenge AImpower.org co-hosted with UC Santa Cruz, on designing inclusive and empowering speech data collection tools for grassroots stuttered speech collection.
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March 13, 2024
March 13, 2024
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Co-design Inclusive and Empathetic Videoconferencing Experience with People Who Stutter

Challenges with videoconferencing In this post-pandemic era, videoconferencing has become a prominent medium of communication in both our professional and personal lives. This shift, while bringing many conveniences, also introduces a set of challenges such as reduced non-verbal cues, turn-taking confusion, distractions, and heightened self-consciousness which can lead to “Zoom […]
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