ARTIFICIAL INTELLIGENCE IN MUSIC PEDAGOGY: ANALYSIS OF EDUCATIONAL OPPORTUNITIES AND RISKS FOR PERFORMANCE AND METHODOLOGICAL TRAINING

Abstract

     The article examines pedagogical and cultural aspects of implementing artificial intelligence in music teacher education. It analyzes the potential of AI in performance training, ear development, digital music analysis, and personalized learning. Particular attention is paid to the transformation of professional competencies of future music educators and the risks of algorithmic standardization of artistic thinking. The paper also explores the perception of digitalization and artificial intelligence in the educational environment of the Republic of Uzbekistan in the context of educational modernization and preservation of national musical traditions. The necessity of an integrative model in which AI serves as a supportive tool while maintaining the leading role of the teacher is substantiated.