Bryan-Kinns, Nick and Sutskova, Olga and Fiebrink, Rebecca and Perry, Phoenix and Wilson, Elizabeth and Wszeborowska, Anna (2025) Bringing People Into AI. Project Report. University of the Arts London. (Unpublished)
Type of Research: | Report |
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Creators: | Bryan-Kinns, Nick and Sutskova, Olga and Fiebrink, Rebecca and Perry, Phoenix and Wilson, Elizabeth and Wszeborowska, Anna |
Description: | This policy report builds on a series of stakeholder workshops with Creative Industry professionals and practitioners who identified concerns with the use of AI and ways forward for the legislation in this area. The workshops explored the potential value of low-resource AI models and small datasets for music making, which itself has been heavily influenced by recent AI developments. With expert input, this report identifies key issues of using large AI models, highlights ethical and creative concerns, and proposes approaches to address these concerns. Opportunities to apply these recommendations beyond the music industry, for example, in scientific fields, are also introduced. The report concludes that a small dataset and low-resource AI approach can bring nuance and character into AI-mediated creative practice while allowing creators more control and recognition for their work. This topic is especially timely as AI researchers and creative practitioners are pushing back against the UK Government’s proposed changes to Copyright Law in 2025 to allow for AI model training using copyrighted creative output. |
Publisher/Broadcaster/Company: | University of the Arts London |
Your affiliations with UAL: | Research Centres/Networks > Institute for Creative Computing |
Date: | 24 June 2025 |
Digital Object Identifier: | 10.58129/9mpb-h282 |
Date Deposited: | 26 Jun 2025 14:51 |
Last Modified: | 26 Jun 2025 14:59 |
Item ID: | 24253 |
URI: | https://ualresearchonline.arts.ac.uk/id/eprint/24253 |
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