Artificial Intelligence in Music Composition: Advances, Challenges, and Perspectives

Abstract

Recently, artificial intelligence (AI) has revolutionized the practice of music creation, giving rise to complex song designs through AI-based automation. This paper introduces several tools that have become increasingly relevant in this field, such as MuseNet, MidiNet, Suno, and DeepBach. Their underlying principles, current and potential applications, as well as their limitations in musical creation, are presented. It also examines the main technical and ethical challenges of using and implementing these tools—particularly the difficulty in replicating the emotional component of human creativity, and the implications of their use from the perspective of current copyright legislation. In addition, the impact of AI on the music industry is assessed, along with its role in audiovisual production and educational contexts. Finally, this work discusses potential future developments in the advancement of these technologies and investigates possible improvements that could enhance the adaptation of AI to diverse cultural and ideological settings and/or the integration of emotional components into AI-generated musical compositions.