Leveraging AI to Preserve and Protect Indigenous Languages

Amidst the increasing threat of language extinction, with 3,000 languages at risk worldwide, the role of artificial intelligence (AI) in revitalizing Indigenous languages is under scrutiny. Chief Roger William of the Tsilhqot’in First Nation highlighted the urgency of preserving languages facing endangerment. Innovative solutions like Michael Running Wolf’s “cedar box” AI tool aim to help learners with pronunciation and fluency, coupling traditional knowledge with modern technology. Similarly, Anna Mae Yu Lamentillo’s NightOwlGPT addresses language representation in the Philippines, stressing the need for equitable access to AI that includes Indigenous voices. However, there are challenges, especially in regions like Africa, where linguistic diversity complicates dataset creation. Experts emphasize that to combat the historical patterns of colonization, data sovereignty and inclusivity must drive AI development, ensuring that marginalized languages are not forgotten in the digital shift towards AI tools. Collective community efforts and thoughtful design can foster a future where under-resourced languages thrive.

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