AI Powered Learning: A Catalyst for Preservation and Revitalization of Endangered Languages

This paper delves into how AI-powered tools can breathe new life into endangered languages, helping to preserve and revitalize them in ways that were previously unimaginable. Technologies like machine translation, speech recognition, and adaptive learning platforms are proving essential by simplifying language documentation and making language learning more engaging and accessible. Our findings show that AI can speed up data collection, increase global access to these languages, and encourage interactive, personalized learning. However, challenges remain: data for these languages is often limited, and ethical questions around cultural ownership arise. The study highlights that meaningful partnerships with indigenous communities and an ethical approach to AI are crucial. By building inclusive datasets and designing culturally sensitive AI tools, we can harness the power of technology to protect and celebrate linguistic diversity, giving endangered languages a lasting place in the digital world.