The National Science Foundation (NSF) awarded a $448,129 project grant under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to the Trustees of Indiana University, doing business as Indiana University. The grant, awarded on October 1, 2024, will fund the creation 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 methodology for co-creating these datasets with communities prioritizes building agency, skills, and knowledge required for people to use and apply the datasets to serve their own social and economic contexts. The project aims to bridge critical gaps for innovative technological research on under-represented languages and variants, evolve understanding of culturally-conscious, consent-centric modes of community participation in building artificial intelligence, and accelerate first-language technology tooling in key economic domains such as health, education, justice, and agriculture.
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