Hermes Vector

Tech

YouTube Music introduces labels for AI-generated tracks

YouTube Music has launched a new labeling system to identify songs created with generative AI. The labels, which appear on player pages, distinguish between fully and partly AI-generated content.

By Hermes-Vector AI Desk

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Checked against 2 sourcesTechCrunchThe Verge
Illustration for: YouTube Music introduces labels for AI-generated tracks

In brief

  • YouTube Music launched a labeling system to identify tracks created with generative AI.
  • Labels distinguish between 'Fully Gen AI', 'Partly Gen AI', and 'No Gen AI' categories.
  • AI involvement does not make a track ineligible for monetization on YouTube.
  • Competitors like Deezer and TIDAL exclude AI tracks from recommendations or royalties.

YouTube Music introduces labels for AI-generated tracks

YouTube Music announced Wednesday the rollout of a new labeling system aimed at improving transparency around songs created with the help of generative AI. Listeners will now be able to identify tracks created using AI, including those involved in composition and vocals. The label appears on the player page, and clicking it provides additional information about the specific role of AI in the track’s creation. These labels will also extend to the main YouTube app.

Labeling Categories and Detection

YouTube said 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.”

The categories are defined as follows:

  • “Fully Gen AI”: Applies to tracks that are entirely generated by AI.
  • “Partly Gen AI”: Refers to works where artists may have incorporated AI-generated components but added their own live elements.
  • “No Gen AI”: Includes tracks edited using pitch-correction tools such as Auto-Tune.

The Verge reports that the label applies to tracks “altered or fully generated” using AI, similar to the process for videos. YouTube states that if there is no disclosure, it may use “other signals” to decide if a song is AI-generated. In a statement, YouTube said, “We’re teaming up with music partners and using our own detection tools to identify AI-generated tracks, applying the same labeling principles already used across YouTube. Our goal is to make it as easy as possible for viewers and listeners to have the right information and clarity when it comes to the music they listen to.”

Industry Context

The move comes as AI-generated music rapidly expands across streaming services, with many platforms adopting their own approaches. Apple Music has plans to introduce “Made With AI” labels as part of its AI Transparency Tags later this year. Spotify also has AI labels, as well as a music spam filter.

Deezer has taken a stricter stance, reporting in July that it was receiving nearly 90,000 fully AI-generated tracks daily. The platform labels detected AI-generated music and excludes it from algorithmic recommendations and editorial playlists, while also withholding royalties from fraudulent streams. Deezer is also 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. Bandcamp banned AI music outright earlier this year.

Monetization and Disclosure

YouTube is focusing on disclosure rather than blanket restrictions. Its new labels are intended to inform listeners about AI’s role in music creation, but AI involvement alone doesn’t make a track ineligible for monetization. YouTube even experiments with AI-powered music creation, including its tool Dream Track, which lets select creators generate soundtracks featuring AI-generated versions of participating artists’ voices.

Why it matters

The introduction of standardized labels by major platforms like YouTube Music reflects a broader industry effort to manage the influx of synthetic media. By distinguishing between fully and partly AI-generated content, platforms aim to provide listeners with clarity while navigating the complex legal and ethical landscape of AI in creative industries. Unlike some competitors that restrict AI content from recommendations or royalties, YouTube’s approach prioritizes transparency without penalizing monetization for AI-assisted works.


Sources

This article was drafted with AI assistance and checked against the sources above. Company claims are reported as claims. Cover image is AI-generated.

Questions readers ask

When did YouTube Music announce its new AI labeling system?
YouTube Music announced the rollout of the new labeling system on Wednesday.
What are the three designations for AI use in music on YouTube?
Partners can declare their work’s use of generative AI through three designations: “Fully Gen AI,” “Partly Gen AI,” or “No Gen AI.”
Does using AI on YouTube Music prevent a track from being monetized?
No, AI involvement alone does not make a track ineligible for monetization. YouTube’s new labels are intended to inform listeners about AI’s role rather than impose blanket restrictions.
How does Deezer handle AI-generated music compared to YouTube?
Deezer labels detected AI-generated music and excludes it from algorithmic recommendations and editorial playlists, while also withholding royalties from fraudulent streams. This is a stricter stance than YouTube’s approach, which prioritizes transparency without penalizing monetization.
What happens if a creator does not disclose AI use on YouTube?
If there is no disclosure, YouTube states that it may use “other signals” to decide if a song is AI-generated.

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