Yes. Margaret Cable has 9 songs listed in a dataset used to train AI music models.

Used for training 9

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 Messiah HWV56, (PART 1): Rejoice greatly, O daughter of Zion, Lobet Gott in seinen Reichen, BWV 11: Chorus - Lobet Gott in seinen Reichen (Himmelfahrts-Oratorium), Mozart: Litaniae de venerabili altaris sacramento in E flat, K.243: 1. Kyrie eleison

Listed under the artist name 9 songs in LAION-DISCO-12M

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

Messiah HWV56, (PART 1): Rejoice greatly, O daughter of Zion

Listed as Dame Emma Kirkby, Emily Van Evera, Margaret Cable, James Bowman – Messiah HWV56, (PART 1): Rejoice greatly, O daughter of Zion (Handel: Messiah (extracts)) · Watch on YouTube

youtube_video -csXmxkqhSE · row -csXmxkqhSE

LAION-DISCO-12M

Lobet Gott in seinen Reichen, BWV 11: Chorus - Lobet Gott in seinen Reichen (Himmelfahrts-Oratorium)

Listed as Dame Emma Kirkby, Evelyn Tubb, Margaret Cable, Wilfried Jochens – Lobet Gott in seinen Reichen, BWV 11: Chorus - Lobet Gott in seinen Reichen (Himmelfahrts-Oratorium) (Bach: Magnificat / Cantatas 4, 11 & 50 / Easter Oratorio) · Watch on YouTube

youtube_video 6-oajHueZHI · row 6-oajHueZHI

LAION-DISCO-12M

Mozart: Litaniae de venerabili altaris sacramento in E flat, K.243: 1. Kyrie eleison

Listed as Margaret Marshall, Margaret Cable, Wynford Evans, Stephen Roberts – Mozart: Litaniae de venerabili altaris sacramento in E flat, K.243: 1. Kyrie eleison (Mozart: Laudate Dominum - Vespers & Litanies) · Watch on YouTube

youtube_video 7twimU9urSo · row 7twimU9urSo

LAION-DISCO-12M

Lobet Gott in seinen Reichen, BWV 11: Evangelista/Recitativo - Und da (Himmelfahrts-Oratorium)

Listed as Dame Emma Kirkby, Evelyn Tubb, Margaret Cable, Wilfried Jochens – Lobet Gott in seinen Reichen, BWV 11: Evangelista/Recitativo - Und da (Himmelfahrts-Oratorium) (Bach: Magnificat / Cantatas 4, 11 & 50 / Easter Oratorio) · Watch on YouTube

youtube_video A9sdHFjQpZk · row A9sdHFjQpZk

LAION-DISCO-12M

Lobet Gott in seinen Reichen, BWV 11: Aria - Jesu, deine Gnadenblicke (Himmelfahrts-Oratorium)

Listed as Dame Emma Kirkby, Evelyn Tubb, Margaret Cable, Wilfried Jochens – Lobet Gott in seinen Reichen, BWV 11: Aria - Jesu, deine Gnadenblicke (Himmelfahrts-Oratorium) (Bach: Magnificat / Cantatas 4, 11 & 50 / Easter Oratorio) · Watch on YouTube

youtube_video FAkfMcjMy4M · row FAkfMcjMy4M

LAION-DISCO-12M

Messiah HWV56, (PART 2): He was despised (alto)

Listed as Dame Emma Kirkby, Emily Van Evera, Margaret Cable, James Bowman – Messiah HWV56, (PART 2): He was despised (alto) (Handel: Messiah (extracts)) · Watch on YouTube

youtube_video GiUbOw74pXY · row GiUbOw74pXY

LAION-DISCO-12M

Lobet Gott in seinen Reichen, BWV 11: Recit - Ach, Jesu, ist dein Abscheid schon so nah? (Himmelfahrts-Oratorium)

Listed as Dame Emma Kirkby, Evelyn Tubb, Margaret Cable, Wilfried Jochens – Lobet Gott in seinen Reichen, BWV 11: Recit - Ach, Jesu, ist dein Abscheid schon so nah? (Himmelfahrts-Oratorium) (Bach: Magnificat / Cantatas 4, 11 & 50 / Easter Oratorio) · Watch on YouTube

youtube_video HWt4LTPi4s4 · row HWt4LTPi4s4

LAION-DISCO-12M

Messiah, HWV 56, Pt. 1, Scene 3: Chorus. "For Unto Us a Child Is Born"

Listed as Dame Emma Kirkby, Emily Van Evera, Margaret Cable, James Bowman – Messiah, HWV 56, Pt. 1, Scene 3: Chorus. "For Unto Us a Child Is Born" (HANDEL) · Watch on YouTube

youtube_video MWEgPpXi988 · row MWEgPpXi988

LAION-DISCO-12M

Mozart: Vesperae de Dominica in C, K.321: 1. Dixit

Listed as Margaret Marshall, Margaret Cable, Wynford Evans, Stephen Roberts – Mozart: Vesperae de Dominica in C, K.321: 1. Dixit (Mozart: Laudate Dominum - Vespers & Litanies) · Watch on YouTube

youtube_video f17MBogmb4w · row f17MBogmb4w

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.