YouTube Music announced on Wednesday the rollout of a new labeling system aimed at improving transparency regarding songs created with the assistance of generative AI. Listeners will now be able to easily identify tracks created using artificial intelligence, including those involving composition and vocals.
The label is displayed on the player page, and clicking on it reveals additional details about the specific role of AI in the track's creation.
Notably, these labels will also be extended to the main YouTube application.
YouTube stated that it collaborated with various music partners and deployed its own detection tools to identify AI-generated music. According to its help page, partners using YouTube can declare their work's use of generative AI through one of three designations: "Fully Gen AI," "Partly Gen AI," or "No Gen AI."
"Fully Gen AI" applies to tracks that are entirely generated by AI, while "Partly Gen AI" refers to works where artists may have incorporated AI-generated components but added their own live elements. Tracks edited using pitch-correction tools such as Auto-Tune fall under the "No Gen AI" category.
This move comes as AI-generated music rapidly expands across streaming services, with many platforms adopting their own approaches. For instance, Apple Music plans to introduce "Made With AI" labels as part of its AI Transparency Tags later this year, and Spotify has implemented its own AI labels along with a music spam filter.
Deezer has adopted one of the stricter stances, reporting in July that it was receiving nearly 90,000 fully AI-generated tracks daily. The platform labels detected AI-generated music, excludes it from algorithmic recommendations and editorial playlists, and withholds royalties from fraudulent streams. Additionally, the company is working on an option to let users filter out AI-generated music.
TIDAL also labels recordings it identifies as entirely AI-generated, allows listeners to disable them, and excludes these recordings from royalty attribution.
YouTube, by contrast, is focusing on disclosure rather than blanket restrictions. Its new labels are intended to inform listeners about the role of AI in music creation, but AI involvement alone does not make a track ineligible for monetization. YouTube even experiments with AI-powered music creation, including its tool Dream Track, which allows select creators to generate soundtracks featuring AI-generated versions of participating artists' voices.
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