LANGUAGE AND ARTIFICIAL INTELLIGENCE

Abstract

As artificial intelligence (AI) becomes more central to global communication, protecting endangered and marginalized languages is becoming increasingly important. This paper argues that AI should not be used only for translation. Instead, it should serve as a tool that helps languages survive, grow, and stay active in the digital world. This means treating language technology as a long‑term investment, not just an optional technical feature. Today, more than 6,000 languages are missing from modern AI systems. This problem is not only caused by a lack of data. It also results from limited funding, scattered efforts, and the absence of strong, coordinated plans to support languages with fewer digital resources. To address this imbalance, we need AI strategies that reduce the gap between well‑supported languages and those that are digitally disadvantaged. This includes creating fairer algorithms and ensuring equal access to digital tools. A key part of this approach is building technology that centers on the communities who speak these languages. When local speakers lead the development of digital tools, the results are more culturally accurate, meaningful, and useful. Community‑driven design ensures that AI systems respect cultural knowledge and adapt to local needs. The paper also highlights the importance of collaboration. Protecting linguistic diversity requires partnerships between communities, researchers, cultural organizations, and international institutions. Language preservation is not only a technical task—it is a long‑term effort to protect cultural heritage. Through these combined efforts, AI can help reduce digital inequality and give endangered languages a stronger presence in the rapidly evolving digital world.