Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.01433 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913594256392192 |
|---|---|
| author | Ding, Jennifer Jäger, Eva Ivanova, Victoria Bunz, Mercedes |
| author_facet | Ding, Jennifer Jäger, Eva Ivanova, Victoria Bunz, Mercedes |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_01433 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset Ding, Jennifer Jäger, Eva Ivanova, Victoria Bunz, Mercedes Computers and Society 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. |
| title | My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2412.01433 |