Luminate Introduces Global Framework To Track & Measure AI-Generated Music
Luminate has introduced a new framework to help the music industry identify and track AI-generated music. Powered by its proprietary technology, Luminate’s CONNECT platform can now flag AI-generated songs and artists worldwide. The feature will roll out to customers and partners later this year.
Luminate is also working with major DSPs and AI music companies to bring self-reported streaming and attribution data directly into CONNECT.
The new system will serve as a central resource for AI music data, giving artists, labels, publishers, managers and brand partners more visibility into how AI-generated music is created, distributed and consumed.
“The rapid growth of AI-generated music has outpaced the industry’s ability to consistently identify it and measure its impact,” says Luminate CEO Rob Jonas. “Greater visibility is critical to understanding broader trends, assessing the risk of fraud and making informed decisions. Luminate has always been the entertainment business’s source of truth, and tracking AI-generated music with the same rigor we apply to every other category is core to our mission.”
Luminate’s approach combines data from DSPs, AI music companies and its own identification technology. Together, the sources are designed to provide a clearer view of AI-generated music and how it moves through the global music ecosystem.
The system works in three ways:
1. Proprietary Identification: Luminate’s technology analyzes streaming data, metadata and audio to identify AI-generated music in CONNECT.
2. Streaming Data: As DSPs develop their own AI identification tools, Luminate will bring that data into CONNECT through its existing partnerships.
3. Source Attribution: Luminate is working with AI music companies to receive attribution data directly as AI-generated content is created, before it reaches DSPs.
Content identified as AI-generated will receive a new “AI Generated” label on songs and artist profiles in CONNECT. Luminate will also offer a review process for artists and labels to challenge incorrect labels.
“This is a starting point,” continues Jonas. “No single organization can address this challenge alone; the industry needs a collaborative approach to more accurately understand, track and measure AI-generated music. We invite DSPs and AI music companies that share this view to join us in advancing it together.”
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