Language, artificial education, and future-making in indigenous language education

Abstract

ABSTRACT This paper examines how language-based artificial intelligence is envisaged to imagine new futures for indigenous languages. It draws on the visions, programmes, and plans of six language initiatives that are developing language technology for often-marginalised indigenous, tribal, and minority (ITM) languages, such as Gondi, Maithili, Rajasthani and Mundari, in India. We note three distinct discourses: (1) technological optimism in utilising these new opportunities by claiming space for otherwise-marginalised languages, (2) the imperative for collaborative and collective work in order to address sparse datasets, and (3) the need to negotiate the contested nature of imagining a new collective future. This paper argues that indigenous language technology is not just a technical project but a contested process of subverting linguistic hierarchy through the ‘active presencing’ of these languages. Overall, the paper emphasizes the need for a nuanced approach that recognizes the interplay between technology, language education, and broader social and political factors.