Yes. LiZZA has 8 songs listed in a dataset used to train AI music models.

Used for training 8

songs in LAION-DISCO-12M under the artist name

A list of 12 million songs on YouTube Music, gathered by walking artist pages, that LAION published in 2024 for training general music models.

Including Ich kann dir nur versprechen, Toma Que Toma, Ich kann dir nur versprechen (Candlelight Mix)

Listed under the artist name 8 songs in LAION-DISCO-12M

Matched exactly: this YouTube Music artist id is the one the dataset lists these songs under.

Ich kann dir nur versprechen

Listed as LiZZA – Ich kann dir nur versprechen (Ich kann dir nur versprechen) · Watch on YouTube

youtube_video CsanNb97K-0 · row CsanNb97K-0

LAION-DISCO-12M

Toma Que Toma

Listed as Lizza – Toma Que Toma (Best of Latino 5 (Compilation Tracks)) · Watch on YouTube

youtube_video LBFCYQi18Do · row LBFCYQi18Do

LAION-DISCO-12M

Ich kann dir nur versprechen (Candlelight Mix)

Listed as LiZZA – Ich kann dir nur versprechen (Candlelight Mix) (Ich kann dir nur versprechen) · Watch on YouTube

youtube_video LHbCk_O6vPE · row LHbCk_O6vPE

LAION-DISCO-12M

Every Minute of a Day (Kingston Version)

Listed as LiZZA – Every Minute of a Day (Kingston Version) (Every Minute of a Day) · Watch on YouTube

youtube_video LWjgl-5OADc · row LWjgl-5OADc

LAION-DISCO-12M

Psycho

Listed as LiZZA – Psycho (Psycho) · Watch on YouTube

youtube_video Xf39VLrksV4 · row Xf39VLrksV4

LAION-DISCO-12M

Mi Mango

Listed as Rex, Lizza – Mi Mango (Best of Latino 5 (Compilation Tracks)) · Watch on YouTube

youtube_video YZZDmmkNRyg · row YZZDmmkNRyg

LAION-DISCO-12M

Every Minute of a Day

Listed as LiZZA – Every Minute of a Day (Every Minute of a Day) · Watch on YouTube

youtube_video bZM70L_Mjq0 · row bZM70L_Mjq0

LAION-DISCO-12M

Kopfsache

Listed as LiZZA – Kopfsache (Kopfsache) · Watch on YouTube

youtube_video shl-aBsZKDE · row shl-aBsZKDE

LAION-DISCO-12M

What this means

Last reviewed 2026-09-24.

Presence in a public research dataset shows that a clip of your recording was listed by academic or industry researchers as material for building or testing audio models. It does not by itself show which commercial products, if any, used the clip. The legal picture is moving. On 31 July 2026 the Regional Court of Munich I ruled in GEMA's case against Suno (case 42 O 763/25) that reproducing works for training, holding them in a model in retrievable form, and generating similar outputs can each infringe copyright under German and EU law; the judgment is not final and can be appealed. In the United States, Warner Music Group settled its claims against Suno on 25 November 2025 with a licensing deal, while the parallel claims by Universal and Sony were still pending at that point. Since then BMG (12 August 2026) and Believe/TuneCore (8 September 2026) have signed opt-in licensing deals with Suno.

What you can do

3 routes. None is a guarantee.

UK, PRS members. Send PRS for Music your report and ask what collective or licensing route covers your works.
- PRS for Music and Artificial Intelligence, Version 1 (October 2025), 2025-10-01
- PRS for Music: AI and music copyright, 2026-09-24
Germany, GEMA members. GEMA won a first-instance ruling against Suno on 31 July 2026 and has a licensing model. Ask how they apply to your repertoire.
- GEMA: Suno AI and OpenAI, GEMA sues for fair compensation, 2025-01-21
- DLA Piper: GEMA v Suno, Munich Regional Court judgment of 31 July 2026, 2026-08-28
- Music Business Worldwide: Germany's GEMA launches AI Charter, 2024-11-05
Signed to Warner, BMG or Believe/TuneCore. Each has an opt-in licensing deal with Suno. Ask your label what opting in or out means for you and whether any settlement money reaches artists.
- Music Business Worldwide: Warner Music Group settles with Suno, 2025-11-25
- Music Ally: Suno signs another music licensing deal, with BMG, 2026-08-12
- Music Business Worldwide: Suno inks global deal with Believe, 2026-09-08

Is this you?

Check another name

These pages report where identifiers from public research datasets point. Presence in a dataset is a fact about the dataset, not a claim about the channel or artist, and says nothing about what any company did with the material. If you are this artist and want this page removed, see removals.