My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset

Autor:	Ding, Jennifer, Jäger, Eva, Ivanova, Victoria, Bunz, Mercedes
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society
Druh dokumentu:	Working Paper
Popis:	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. Comment: Presented at the NeurIPS 2024 Workshop on Creativity & Generative AI
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.01433 Zobrazit plný text záznamu View this record from Arxiv