UCLA

This dissertation examines the role of artificial intelligence in music composition, focusing on AI-generated music for modern media. It traces the evolution of AI in music, from early computational experiments to contemporary models like Google’s Magenta, OpenAI’s Jukebox, and Meta’s MusicGen. Central to the research is the fine-tuning and evaluation of MusicGen to align with specific stylistic and creative goals.The study explores the potential of AI to augment artistic processes while addressing ethical concerns such as copyright and authorship. By combining technical analysis with philosophical inquiry, this work positions AI as a tool to enhance creativity, contributing to the ongoing discourse on the intersection of technology and the arts.