This 12 month project "Responsible AI international community to reduce bias in AI music generation and analysis" will build an international community to address Responsible AI (RAI) challenges of bias in AI music generation and analysis.

The aim of the project is to explore ways to tackle current over-reliance on huge training datasets for deep learning leads to AI models biased towards Western classical and pop music and marginalises other music genres. We will bring together an international and interdisciplinary team of researchers, musicians, and industry experts to make available AI tools, expertise, and datasets which improve access to marginalised music genres. This will directly benefit musicians and audiences engaging with a wider range of musical genres and benefits creative industries by offering new forms of music consumption.

Ethical and Responsible AI Music Making Workshop 2024

We held a one-day workshop on Responsible Music AI with a focus on bias in AI music generation systems on 17th July 2024 at the Creative Computing Institute, University of the Arts London, Holborn, London.

We brought together over 100 people to form an interdisciplinary community of musicians, academics, and stakeholders to collaboratively identify the potential and challenges for using low-resource models and small datasets in musical practice. The workshop consisted of publicly streamed discussion panels, presentations of participants’ work, and brainstorming sessions on the future of AI and marginalised music. The event was followed by an evening reception featuring live performances sing AI and small datasets of music.

In the morning sessions we focussed on sharing and identifying current practices and challenges for AI music making with small datasets. The afternoon was dedicated to exploring opportunities and practical solutions to using small and marginalised datasets of music and other audio with AI. This forms the start of an international network and roadmap for a new ecosystem that we will build to rapidly open small music datasets and low-resource AI approaches to more wider use in music making and analysis.

Workshop 17 July 2024

Case study presentationsPanel discussions

Live performance: digital selvesLive performance: Gabriel VigliensoniLive performance: DadabotsLive performance: Portrait XO