In this episode of the “In Conversation with” webinar series, we presented two projects from our exciting portfolio of International Partnerships.

Watch the webinar on demand here >>

– Responsible AI international community to reduce bias in AI music generation and analysis
This project aims to establish an international community dedicated to address Responsible AI challenges, specifically addressing bias in AI music generation and analysis. The prevalent dependence on large training datasets in deep learning often results in AI models biased towards Western classical and pop music, marginalising other genres. The project will bring together an international and interdisciplinary team of researchers, musicians, and industry experts to develop AI tools, expertise, and datasets aimed at enhancing access to marginalised music genres. This will directly benefit both musicians and audiences, engaging them to explore a broader spectrum of musical styles. Additionally, this initiative will contribute to the evolution of creative industries by introducing novel forms of music consumption. To know more about the project, read here.

Presenter:

Prof. Nick Bryan-Kinns, University of the Arts London. Working with Music Hackspace UK, DAACI UK, Steinberg Germany and Bela UK.

– Exploring Fairness and Bias of Multimodal Natural Language Processing for Mental Health
The world is grappling with an escalating mental health crisis. Emerging technologies like Artificial Intelligence (AI), and in particular Natural Language Processing (NLP) are presented as promising tools to solve these challenges by tackling online abuse and bullying, suicide ideation detection and other behavioural online harms.

This international partnership project between the University of Southampton and The Institute for Experiential AI at Northeastern University is dedicated to leveraging the responsible use of AI in addressing mental health issues. With a core focus on ethical implementation, our partnership prioritises fairness and bias mitigation within AI models. Key initiatives encompass reciprocal resource sharing, model evaluations to identify and mitigate biases, workshops around policy and AI and mental/public health and proposing policy recommendations for the ethical integration of AI in mental health.

In addition, we will foster extensive collaborations with experts in AI, public health and mental health, engaging stakeholders from the outset, ensuring that our approach to AI integration in mental health remains innovative, ethically sound, and genuinely responsive to user needs.

Presenters:

Dr Rafael Mestre, Lecturer, University of Southampton. Working with The Institute for Experiential AI at Northeastern University.

Dr Annika Schoene, Research Scientist, The Institute for Experiential AI at Northeastern University.

This webinar was moderated by Professor Kate Devlin, Deputy Chair of the Public Engagement, Outreach and Policy Pillar at RAi UK, and Professor in AI and Society at King’s College London.