Your Music in AI Training Data: The Hidden Cost of GenAI Sound

The Atlantic's AI Watchdog reveals that many AI music systems train on vast public datasets that often provide links to tracks rather than the actual audio, raising licensing, privacy, and authorship concerns. The piece highlights how this transparency gap, combined with inconsistent licensing and terms of service, could undermine musicians’ control over their work and enable potential lawsuits, all while arguing that current models are predictive rather than truly creative. It points to examples like Hainbach’s large dataset and Google/YouTube-related training questions, and urges stronger disclosure and guardrails to address inequities in who benefits from AI-generated music.