Reclaiming the Educational Voice
Abstract
AI-generated voice narration offers both opportunity and risk when integrated into today's learning experiences. This chapter examines a case study of an AI-enhanced course narration project aimed at improving accessibility, efficiency, and engagement in higher education. While AI voices can democratize access and streamline instructional production, they also raise pressing questions about linguistic representation, accent bias, and the erasure of human and cultural identity in educational media. Drawing from decolonial theory and Universal Design for Learning (UDL), the author explores how institutions can reclaim agency in AI use by intentionally selecting or training voices that reflect diverse linguistic identities, gender expressions, and cultural contexts. The chapter, per the author, shares a reflective design framework for integrating AI narration ethically; one that prioritizes cultural presence, consent, and inclusivity while maintaining pedagogical authenticity.
Fields of Study & Subjects
Educational Theory and Curriculum Studies
AI in Service Interactions
Sound Studies and Aurality
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 317–350
- Publication date
- 14 August 2026
- Document type
- Book chapter