Yes. Matt Johnson has 157 songs listed in a dataset used to train AI music models.

Used for training 157

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 I Don't Care (Acoustic), All My Roads (Acoustic Version), Holly Jolly Christmas (Acoustic)

Listed under the artist name 157 songs in LAION-DISCO-12M

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

I Don't Care (Acoustic)

Listed as Matt Johnson – I Don't Care (Acoustic) (I Don't Care (Acoustic)) · Watch on YouTube

youtube_video Dl2mXYUIrKA · row Dl2mXYUIrKA

LAION-DISCO-12M

All My Roads (Acoustic Version)

Listed as Matt Johnson – All My Roads (Acoustic Version) (Acoustic Hits, Vol.3) · Watch on YouTube

youtube_video U7pniLFpfq0 · row U7pniLFpfq0

LAION-DISCO-12M

Holly Jolly Christmas (Acoustic)

Listed as Matt Johnson, Bailey Rushlow – Holly Jolly Christmas (Acoustic) (Holly Jolly Christmas (Acoustic)) · Watch on YouTube

youtube_video b5fZ-HLgrxU · row b5fZ-HLgrxU

LAION-DISCO-12M

Get Over You

Listed as Matt Johnson – Get Over You (Get Over You) · Watch on YouTube

youtube_video bWRZxoR1GkA · row bWRZxoR1GkA

LAION-DISCO-12M

Things We Lost In The Fire (Acoustic Version)

Listed as Matt Johnson – Things We Lost In The Fire (Acoustic Version) (Things We Lost In The Fire (Acoustic Version)) · Watch on YouTube

youtube_video jCbXOjEyfJ8 · row jCbXOjEyfJ8

LAION-DISCO-12M

drivers license (Acoustic)

Listed as Matt Johnson – drivers license (Acoustic) (drivers licence (Acoustic)) · Watch on YouTube

youtube_video sg50qsAB_8E · row sg50qsAB_8E

LAION-DISCO-12M

Lie to Me (Acoustic)

Listed as Matt Johnson – Lie to Me (Acoustic) (Lie to Me (Acoustic)) · Watch on YouTube

youtube_video y--OyCsP7N0 · row y--OyCsP7N0

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.