My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset
Data grows in value when joined and combined; likewise the power of voice grows in ensemble. With 15 UK choirs, we explore opportunities for bottom-up data governance of a jointly created Choral AI Dataset. Guided by a survey of chorister attitudes towards generative AI models trained using their da...
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| creator | Ding, Jennifer Jäger, Eva Ivanova, Victoria Bunz, Mercedes |
| description | Data grows in value when joined and combined; likewise the power of voice
grows in ensemble. With 15 UK choirs, we explore opportunities for bottom-up
data governance of a jointly created Choral AI Dataset. Guided by a survey of
chorister attitudes towards generative AI models trained using their data, we
explore opportunities to create empowering governance structures that go beyond
opt in and opt out. We test the development of novel mechanisms such as a
Trusted Data Intermediary (TDI) to enable governance of the dataset amongst the
choirs and AI developers. We hope our findings can contribute to growing
efforts to advance collective data governance practices and shape a more
creative, empowering future for arts communities in the generative AI
ecosystem. |
| doi_str_mv | 10.48550/arxiv.2412.01433 |
| format | Article |
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grows in ensemble. With 15 UK choirs, we explore opportunities for bottom-up
data governance of a jointly created Choral AI Dataset. Guided by a survey of
chorister attitudes towards generative AI models trained using their data, we
explore opportunities to create empowering governance structures that go beyond
opt in and opt out. We test the development of novel mechanisms such as a
Trusted Data Intermediary (TDI) to enable governance of the dataset amongst the
choirs and AI developers. We hope our findings can contribute to growing
efforts to advance collective data governance practices and shape a more
creative, empowering future for arts communities in the generative AI
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data governance of a jointly created Choral AI Dataset. Guided by a survey of
chorister attitudes towards generative AI models trained using their data, we
explore opportunities to create empowering governance structures that go beyond
opt in and opt out. We test the development of novel mechanisms such as a
Trusted Data Intermediary (TDI) to enable governance of the dataset amongst the
choirs and AI developers. We hope our findings can contribute to growing
efforts to advance collective data governance practices and shape a more
creative, empowering future for arts communities in the generative AI
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grows in ensemble. With 15 UK choirs, we explore opportunities for bottom-up
data governance of a jointly created Choral AI Dataset. Guided by a survey of
chorister attitudes towards generative AI models trained using their data, we
explore opportunities to create empowering governance structures that go beyond
opt in and opt out. We test the development of novel mechanisms such as a
Trusted Data Intermediary (TDI) to enable governance of the dataset amongst the
choirs and AI developers. We hope our findings can contribute to growing
efforts to advance collective data governance practices and shape a more
creative, empowering future for arts communities in the generative AI
ecosystem.</abstract><doi>10.48550/arxiv.2412.01433</doi><oa>free_for_read</oa></addata></record> |
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| title | My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset |
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