AI is already reshaping the music landscape — from how we create and discover tracks to how rights are managed and monetised. But as generative models grow more advanced, a critical question demands clarity: Were the training datasets legally and ethically sourced, and were rights holders properly compensated?
Across key conferences like IMS Ibiza and other gatherings in music, tech, and rights management, the spotlight is now on the use of music for training Music GenAI models. The call is growing louder: we need ethical frameworks grounded in transparency, informed consent, attribution, and fair compensation.
With the recent launch of the AFEM AI Principles, they provide a clear set of standards to guide responsible use of music in AI. These principles aim to protect the rights of artists, producers, and rights holders, while still allowing space for innovation.
At Paradise Worldwide, we’re committed to shaping that future. Our partner AIxchange has built a licensing platform that ensures music used in training GenAI models is sourced fairly, ethically, and with proper rights management in place — bridging the gap between rights holders and AI developers.
What’s needed now is collaboration — practical, transparent frameworks that support independent artists and labels, and ensure creators stay in control of their work.
Music can power innovation. But only if artists are respected.
It’s time to align — and move forward with fair, ethical AI.
