As AI-generated music becomes harder to identify, the industry needs better tools to understand what’s synthetic, what’s authentic, and why that distinction matters.
This panel explores a discussion of why distinguishing human-made music from AI-generated music is crucial. We intend to discuss how AI detection and audio provenance work in practice, using real examples to show how companies analyze audio signatures, trace origin patterns, and help platforms, artists, and listeners navigate a rapidly changing music landscape.
