YouTube Music announced on Wednesday that it had begun rolling out a new system for labeling music tracks, aiming to increase transparency about songs produced with the assistance of generative artificial intelligence (AI), amid the rapid growth of AI-generated music on digital streaming platforms.
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The new system allows listeners to easily identify tracks created using AI, whether in musical composition or vocal performance.
The new label will appear on the music track’s playback page, where users can click on it to access additional information explaining the role AI played in the production process.
The labels are also expected to extend to the main YouTube platform, not just YouTube Music.
YouTube said it had worked with several partners in the music industry, alongside using its own detection tools, to identify music produced with AI.
According to the platform’s official support page, partners using YouTube can disclose the use of generative AI in their work through three main labels.
The first label, “Fully Gen AI,” refers to music tracks created entirely using these technologies, without direct reliance on human production elements.
The second label, “Partly Gen AI,” covers works in which artists have used AI-generated elements alongside other components of their own performances or direct production.
The third label, “No Gen AI,” is used for works that do not rely on generative AI in their production. This includes tracks that have undergone conventional audio adjustments using pitch-correction tools such as Auto-Tune.
The move comes as the digital music industry experiences rapid growth in the volume of AI-generated works, prompting several major streaming platforms to adopt different policies for handling this type of content.
Apple Music has announced plans to introduce new labels under the name “Made With AI” as part of a broader system to improve transparency around content produced using these technologies. The labels are expected to be introduced later in 2026.
Spotify also uses labels for AI-generated music, alongside a system for filtering spam or low-quality music content, with the aim of limiting the spread of unwanted tracks.
Deezer, meanwhile, has adopted a stricter policy toward AI-generated music.
In July, the platform reported receiving nearly 90,000 tracks per day that had been created entirely using AI, highlighting the growing prevalence of such works.
Deezer labels tracks it detects as AI-generated and excludes them from algorithmic recommendations and playlists curated by its editorial team.
It also withholds royalties generated through fraudulent streams as part of its efforts to combat manipulation of the music streaming revenue system.
The company is also developing a new option that would allow users to exclude AI-generated music from the content they listen to.
Similarly, TIDAL has introduced measures targeting recordings identified as having been produced entirely using AI. It labels these recordings, allows listeners to disable their display, and excludes them from music royalty calculations.
Unlike these platforms’ policies, YouTube is focusing on disclosure and transparency rather than imposing broad restrictions on music created with AI.
The new labels aim to clarify the extent of AI’s contribution to music production without automatically making the use of these technologies a barrier to monetizing content on the platform.
At the same time, YouTube continues to test AI-powered music creation tools, including Dream Track, which allows a select group of content creators to produce audio tracks featuring AI-generated versions of the voices of artists participating in the program.
These developments reflect the differing strategies adopted by digital music platforms in responding to AI-generated content, ranging from informing listeners about how works are produced to restricting their distribution and monetization.
Source: Al-Ghad.
