Artificial Intelligence as a catalyst for the preservation of Yoruba dialectal diversity: Pedagogical, linguistic, and technological perspectives

Yorùbá dialects embody layers of historical memory, cultural practice, and linguistic knowledge that remain largely underrepresented in formal education and digital environments. Although the Yorùbá language continues to be widely spoken, many of its dialectal forms face gradual erosion as schooling, media, and technology favor standardized varieties. This article presents a critical review of how artificial intelligence may contribute to sustaining Yorùbá dialectal diversity when guided by linguistic insight and pedagogical purpose. Drawing on scholarship from Yorùbá linguistics, educational technology, and language documentation, the paper examines the cultural foundations of dialectal variation, the challenges associated with traditional preservation methods, and the emerging role of intelligent digital tools. Particular attention is given to the pedagogical implications of AI-supported documentation, especially its potential to support dialect-inclusive teaching, teacher education, and community-based learning. The review also reflects on ethical and policy considerations, emphasizing the need for culturally grounded approaches that respect linguistic ownership and local knowledge systems. By bringing together educational, linguistic, and technological perspectives, the article argues that artificial intelligence, when thoughtfully applied, can support the continuity of Yorùbá dialects without diminishing their cultural specificity.