Published February 17, 2025
| Version v1
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Choral Data 'Trust' Experiment White Paper
- 1. Serpentine Arts Technologies
- 2. Boundary Object Studio
Contributors
Others:
- Blackburn People's Choir
- Carnoustie Choir
- Cunninghame Choir
- The Fitzhardinge Consort
- The Fourth Choir
- HIVE Choir
- Leeds Vocal Movement
- London Contemporary Voices
- Musarc
- New London Chamber Choir
- Open Arts Community Choir
- Ordsall Acappella Singers
- The Ravenswood Singers
- South Lakes A Cappella
- Spectrum Singers
Researchers:
- 1. Serpentine Arts Technologies
- 2. King's College London
- 3. Herndon Dryhurst Studio
Description
The rapid advancement of generative artificial intelligence (AI) has intensified debates around who controls and benefits from the data used to build AI systems and how it is obtained. In response, visions for building public interest AI ecosystems are emerging, which aim to promote data and AI as public goods and enable diverse voices to shape AI development. This paper presents findings from the Choral Data 'Trust' Experiment, a pioneering initiative by Serpentine, a UK public art institution, to test new approaches to governing AI training data through a real-world case study with 15 UK choirs.
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SerpentineArtsTechnologies_ChoralDataTrustExperiment_WhitePaper.2025.02.18.pdf
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(4.6 MB)
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Additional details
Additional titles
- Subtitle (English)
- Prototyping a GLAM Trusted Data Intermediary for Public Interest AI