From Oral Heritage to Digital Code: Philosophical Reflections on the Reconstruction of Traditional Choral Teaching through Artificial Intelligence

Abstract

The intersection of artificial intelligence and choral traditions is transforming how we learn and preserve music. This critical study explores the deep connection between emerging technology and cultural transmission, revealing how AI can document, learn, and even reimagine musical heritage. By analyzing the interplay among machine learning, bodily knowledge, and traditional pedagogies, the research reveals the intricate processes of using emerging technologies in music pedagogy. The study proves that AI has tremendous potential to understand complex performance properties, maintain distinctive musical heritage, and create adaptive learning experiences. However, it also explores the ethical issues involved in using technology closely, outlining the need for maintaining cultural values and human capabilities. The research proposes a model of collaboration that views AI as a tool to enhance, not replace, traditional musical transmission, ultimately invoking an integrationist position in terms of both technological potential and cultural authenticity.