The music industry's push for greater transparency around artificial intelligence took another step forward this week as a coalition of recorded music organizations unveiled a proposed voluntary labeling framework for AI-generated music.
The proposal quickly drew responses from AI music platform Suno and the Digital Media Association (DIMA), highlighting broad agreement that transparency matters, while exposing differing views on how such a system should be implemented.
The proposed framework introduces two standardized labels designed to help listeners better understand how AI was used in the creation of a recording.
Under the proposal, recordings created primarily through generative AI would carry an "AI-Generated" label, while recordings that remain substantially human-created but incorporate generative AI during the creative process would be identified as "AI-Assisted." The organizations behind the initiative say the labels are intended to provide greater transparency for consumers without discouraging legitimate creative uses of AI.
Rather than relying solely on visible badges, the proposal also calls for standardized metadata that could travel with recordings throughout the digital music ecosystem. The framework is designed for commercial sound recordings and does not currently extend to compositions, lyrics, artwork, or music videos.
The announcement comes as questions surrounding AI disclosure continue to gain momentum across the music industry, with streaming services, distributors, rightsholders, and AI developers all exploring how generative AI should be represented to listeners.
Suno, which remains involved in ongoing copyright litigation with major record companies over the training of its AI models, responded by expressing support for the broader goal of transparency.
In a statement, the company said it believes transparency is important and pointed to its ongoing investments in technologies such as watermarking and audio fingerprinting. At the same time, Suno argued that decisions about how AI disclosures ultimately appear to listeners should be made collaboratively by artists, rights holders, distributors, and streaming platforms rather than AI developers alone.
The proposal also prompted a response from the Digital Media Association (DIMA), whose members include several of the largest digital music and streaming companies. Graham Davies, President and CEO of DIMA notes:
“DIMA has long advocated for the creators, owners, and distributors of music to provide accurate and timely metadata on all music released and distributed to streaming services...Our members look forward to continuing to work with the labels, producers, artists and distributors, as well as other industry stakeholders and standards bodies such as DDEX, to build a robust supply chain in which consumers can trust.”
The exchange underscores how the conversation around AI in music is beginning to evolve. While much of the public discussion over the past two years has centered on copyright and training data, attention is increasingly shifting toward disclosure, metadata standards, and how AI-created works will ultimately be presented to listeners across streaming platforms.
For now, the proposed labeling system remains voluntary, and no major streaming service has announced plans to adopt it. Still, it represents one of the industry's most coordinated efforts yet to establish a common language for identifying AI-generated and AI-assisted recordings — a discussion that is likely to continue as generative AI becomes an increasingly common part of music creation.
+Read more: "Why AI Song Generators Don’t Grant Copyright"
