The National Science Foundation (NSF) awarded a $1,051,622 Project Grant under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to the Mozilla Foundation. This 3-year grant, effective October 1, 2024, will fund the development of crucial training datasets, predominantly optimized for speech recognition (speech-to-text), for three underrepresented American sociolinguistic contexts: a sociolect, a code-switching language context, and an indigenous language. The project methodology prioritizes building community agency, skills, and knowledge to use and apply these datasets to serve their own social and economic contexts. This research aims to bridge critical gaps in innovative technological research on under-represented languages and variants, evolve understanding of culturally-conscious, consent-centric AI data creation, and accelerate first-language technology tooling in key economic domains. No sub-awards are planned for this grant.
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