AI-generated music doesn't appear from nowhere. Every piece of AI-generated music stands on the shoulders of human creativity, and the technology to acknowledge that debt, trace it, and turn it into fair compensation is advancing faster than most of the industry realizes.

This panel brings together the engineers, rights innovators, and legal architects who are building the detection and attribution frameworks that make transparency at scale not just possible but practical: tools that can identify the human-authored works behind AI outputs, registries that create traceable links between training data and rightsholders, and deployment-ready solutions that labels, publishers, and artists can act on today.

The legal landscape will continue to evolve, but the infrastructure being built right now will determine who gets paid, how reliably, and how soon. This is the session for everyone who wants to move from the debate to the solution and understand what a fair, functional, and future-proof attribution system for AI and music actually looks like in practice.