On Wednesday, YouTube Music unveiled a new labeling system designed to enhance transparency for songs incorporating generative AI. This initiative will enable listeners to readily distinguish tracks created with AI, encompassing elements like composition and vocals.
This label will be visible on the player page. Selecting it will offer further details regarding the precise contribution of AI to the track’s development.
Significantly, these labels are also slated for integration into the primary YouTube application.
YouTube stated its collaboration with numerous music partners and the implementation of proprietary detection tools to pinpoint AI-generated music. As outlined on its help page, YouTube partners can classify their content’s use of generative AI using one of three categories: “Fully Gen AI,” “Partly Gen AI,” or “No Gen AI.”
“Fully Gen AI” describes tracks entirely produced by artificial intelligence, whereas “Partly Gen AI” indicates creations where artists have included AI-generated parts alongside their own live contributions. Songs modified with pitch-correction software like Auto-Tune are categorized under “No Gen AI.”
This initiative coincides with the rapid proliferation of AI-generated music across streaming platforms, leading many services to develop unique strategies. For example, Apple Music intends to roll out “Made With AI” labels later this year as part of its AI Transparency Tags. Spotify also employs AI labels in addition to a music spam filter.
Deezer has adopted a more stringent position, reporting in July that it receives close to 90,000 entirely AI-generated tracks daily. The service not only labels identified AI-generated music but also removes it from algorithmic recommendations and editorial playlists, and it withholds royalties from fraudulent streams. Additionally, the company is developing a feature to allow users to filter out AI-generated content.
TIDAL also marks recordings it identifies as fully AI-generated, provides listeners with an option to deactivate them, and omits these recordings from royalty distributions.
In contrast, YouTube emphasizes transparency through disclosure instead of imposing broad restrictions. Its new labeling system aims to educate listeners on AI’s contribution to music production, yet AI’s presence alone does not disqualify a track from monetization. YouTube is even exploring AI-driven music creation, exemplified by its tool Dream Track, which allows chosen creators to produce soundtracks incorporating AI-generated vocal styles of featured artists.