Educational Exploration of the Integration of Artificial Intelligence and Music Education

Abstract

The integration of artificial intelligence and music education has brought technological innovation to traditional teaching models, demonstrating significant advantages in improving teaching efficiency, stimulating creativity, and providing precise feedback. However, this integration also faces ethical challenges such as technological dependence weakening humanistic values, teacher role transformation, and data privacy. In the future, it is necessary to balance instrumental rationality with the essence of art education, achieve the goal of "technology empowering art" through human-machine collaboration, and establish a sound data governance and algorithmic ethical framework to ensure that music education adheres to the humanistic core and educational equity in the process of intelligence.