AI Training Data Provenance in the music industry refers to the origin and history of the datasets used to train artificial intelligence models for music generation and analysis¹. It addresses critical concerns regarding the ethical sourcing, copyright compliance, and transparency of the musical works utilized for AI development². This theme highlights the challenges of ensuring that AI models are trained on legally obtained and appropriately licensed content, especially given that AI music generation often relies on existing human-made music³.