Exploring the Challenges and Ethical Considerations of Music AI Models

This chapter delves into the complexities of processing audio information in AI models, emphasizing the tokenization of audio data and the connection between sounds and descriptions using large language models. It highlights the importance of a foundation model approach for effective learning with minimal data and discusses ethical boundaries in mimicking real artists. The conversation also touches on the potential for AI-generated music to create new voices and the impact of automation on music-related work opportunities.