Responsible AI Music Artistic Mini-Projects

Tools

Bryan-Kinns, Nick and Fiebrink, Rebecca and Perry, Phoenix and Wilson, Elizabeth and Wszeborowska, Anna (2024) Responsible AI Music Artistic Mini-Projects. [Show/Exhibition]

Responsible AI Music Artistic Mini-Projects Launch and Exhibition

Type of Research:

Show/Exhibition

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

Other Contributors:

Role	Name
Artist	Maria, Fá
Artist	Gupta, Shreya
Artist	Park, Junson

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/

Related Websites:

Locations / Venues:

Location

From Date

To Date

Rich Mix, 35-47 Bethnal Grn Rd, London E1 6LA

13 February 2025

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

Licence:

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Responsible AI Music Artistic Mini-Projects