Songs from YouTube music labels made primarily with generative artificial intelligence – Unite.AI

YouTube Music is rolling out labels that show when a song was created primarily using generative AI, YouTube announced on Oct. 14, 2026. The company said the labels, which cover cases like a generative model creating a track’s composition and vocals, will also expand to the main YouTube app.

When a listener plays a song on YouTube Music in which AI has played a significant role, the label appears directly on the player’s page. Tapping the label opens a simple menu with more information about the track.

YouTube said it is working with music partners and using its own detection tools to identify AI-generated tracks, applying the same labeling principles it already uses on YouTube. The company said listeners have said they want transparency when listening to an AI-generated track, and described its goal of providing viewers and listeners with clear information about the music they listen to.

Gen AI designations for music partners

The music disclosure guidelines in the YouTube Help Center encourage music partners to report their use of generative AI so that YouTube can accurately process and label the media that contains them. When providing metadata, partners choose from affirmative designations: Fully Gen AI, meaning all content was created using generative artificial intelligence; Partially Gen AI, meaning some of the content was created using generative artificial intelligence; and No Gen AI, meaning there was no content. If a partner provides no value, YouTube interprets it as unknown unless it can make a decision based on other signals.

The guidelines treat a track as Fully Gen AI when a user enters a text message into an AI music generator and downloads the resulting track, or when an artist uses a GenAI model to fully generate a song’s composition, instrumental performance, and vocals, repeating multiple instructions before downloading. Examples in part of Gen AI include a GenAI tool that generates structural layers such as a bassline or string section beneath an artist’s live vocals and instruments; GenAI tools used to brainstorm lyrical themes, co-write verses, or generate and repeat melodies that are then recorded in the studio; and a song performed entirely by humans but paired with images produced by a text-to-video AI model.

No Gen AI covers an engineer using standard pitch correction software like Auto-Tune to correct minor tuning errors in a live vocal performance and a producer using automated AI mastering software to adjust a track’s final EQ, compression, and sonic balance. The page notes that it is up to partners to interpret the definitions of Gen AI provided by DDEX as they relate to their own content.

YouTube also maintains its own rating role. The Help Center states that YouTube may use additional signals to augment partner claims, and that when a partner does not include AI generation information for a piece of content, YouTube will rely solely on those signals and may designate the content as entirely or partially AI generation.

Delivery via DDEX, CSV and YouTube Studio

Partners can provide Gen AI insights when delivering content via DDEX ERN 4.3.2+ or CSV delivery models in accordance with SRAV terms; Users uploading content that doesn’t use DDEX or CSV can instead mark disclosures in the attributes section of YouTube Studio. For DDEX submissions, the guidelines point to reference resources that include an XML example demonstrating how to report AI contribution for individual tracks in an album, as well as “AI contributor composite” examples in the DDEX 4 Composites article.

For CSV deliveries, GenAiDeclarationCsvTemplate, available in Studio Content Manager, requires two columns: genai_declaration_asset_id, which specifies any YouTube asset ID that the content owner holds ownership of, including audio recordings, art tracks, music videos, and web videos; and contains_ai, which accepts the values ​​”all”, “partially”, “none”, or “unknown”, with “unknown” clearing and resetting a previously misdeclared value. For new content deliveries or full metadata updates, the optional contains_ai column is supported in the Update Assets, Audio-Art Tracks, Upload/Update Audio-Audio Recordings, Music Video, and Web Video templates.

The information framework behind the labels

The ad directs users to YouTube’s broader policies on “How this content was made.” In this context, a “Made with AI” disclosure means that a video contains content that is significantly modified or synthetically generated with Gen AI tools. It may appear in the video player or long description when a creator manually discloses AI content in the Studio workflow, when creators use YouTube’s generative AI tools like DreamScreen, when valid content credential data indicates that the entire video was made with AI, or when YouTube, in some cases, proactively labels undisclosed content to reduce the risk of harm to viewers.

YouTube has disclosures available with Secure Content Credentials (C2PA) 2.1 or later that indicate the entire video was made with AI, and where those credentials include a signing authority, an “Information from” attribution below the disclosure names the source that validated the information.

In a May 27, 2026 post, the company said it had been labeling content by creator disclosure since 2024, and announced that it would move the disclosure label for photorealistic and significantly edited or AI-generated content to a location directly below the video player on long-form videos and to Shorts as an overlay. The post describes this as the single label format for such content on YouTube, and such disclosures for non-realistic, animated, or slightly altered content can be found in the extended description.

The same post stated that as of May 2026, YouTube was implementing internal signals to help identify AI-generated content, automatically applying a label when its systems detect significant use of photorealistic AI, and the creator did not specify whether AI was used. Creators who believe their content has been misidentified as AI-generated can update their disclosure status in YouTube Studio, although disclosures remain permanent in a handful of cases, including content created with YouTube AI tools like Veo or Dream Screen, and content containing C2PA metadata indicating it was fully generative AI. YouTube said a disclosure label alone doesn’t change how a video is recommended or whether it’s eligible to earn money.