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Bryan-Kinns, Nick and Fiebrink, Rebecca and Perry, Phoenix and Wilson, Elizabeth and Wszeborowska, Anna (2024) Responsible AI Music Artistic Mini-Projects. [Show/Exhibition]
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| Type of Research: | Show/Exhibition | ||||||||
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| Creators: | Bryan-Kinns, Nick and Fiebrink, Rebecca and Perry, Phoenix and Wilson, Elizabeth and Wszeborowska, Anna | ||||||||
| Description: | Responsible AI Music Artistic Mini-Projects Launch and Exhibition The aim of these mini-projects is to create impact and interest in Responsible AI (RAI) concerns of bias in AI models. These mini-projects use AI tools such as low-resource AI models with small datasets to showcase the challenges of bias in AI and how RAI techniques can be used to address them. These mini-projects are part of a 12 month project "Responsible AI international community to reduce bias in AI music generation and analysis" which built an international community to address Responsible AI (RAI) challenges of bias in AI music generation and analysis. For more information about the project please see the project webpage: musicrai.org |
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| Your affiliations with UAL: | Research Centres/Networks > Institute for Creative Computing | ||||||||
| Date: | 2024 | ||||||||
| Funders: | Funded by Responsible Artificial Intelligence (RAI) UK International Partnerships (UKRI EPSRC grant reference EP/Y009800/1) | ||||||||
| Related Websites: | https://music-rai.github.io/projects/, https://music-rai.github.io/ | ||||||||
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| Locations / Venues: | Location From Date To Date Rich Mix, 35-47 Bethnal Grn Rd, London E1 6LA 13 February 2025 |
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| Date Deposited: | 10 Mar 2025 13:28 | ||||||||
| Last Modified: | 10 Mar 2025 13:30 | ||||||||
| Item ID: | 23595 | ||||||||
| URI: | https://ualresearchonline.arts.ac.uk/id/eprint/23595 |
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