Research and challenges

Number one in the UK for computer vision, we have over 30 years of leadership in both fundamental AI theory and world-leading applications of people-centred AI. Our strong track record of partnership with industry leads to successful commercialisation of our research.

Research vision

The Surrey Institute for People-Centred AI brings together world-leading expertise in fundamental AI theory with cross-University domain expertise to shape AI impact for public good.

A cohesive pan-University research agenda draws on the excellence and scale of research across the University. This provides a unique focus on people-centred AI, establishing national leadership and creating a nurturing ecosystem to redefine the future of artificial intelligence with people at its heart.

This distinctive approach underpins our excellent collaboration with industry, public sector, government and other relevant institutions, enabling the co-creation of innovative ideas and approaches to foster new research directions.

PAI focuses on tackling six grand challenges for the benefit of society:

Trustworthy and Responsible AI

How can we ensure AI is embedded responsibly throughout research, design, development and deployment of AI technologies?

AI for Education, Media and Entertainment

How can we design inclusive AI to improve the way we learn, communicate, play and access trusted information?

AI for Health and Wellbeing

How can AI realise its potential to transform the health and welfare of people in communities and at home?

Human-AI Interaction

How can AI systems understand, interact and communicate naturally with people?

AI for Society

How can AI transform communities, business and the workplace for the benefit of people, enriching how we live, work, play and create?

AI and Sustainability

How can we develop technologies that consider the lifecycle of sustainable AI, from its design to its repurposing based on ethical, responsible and greener systems?

AI research at Surrey

PAI is a thriving multi-disciplinary network of researchers across the University spanning fundamental AI theory through to applications in health, nutrition, language, security, education, entertainment, finance, business, law, ethics, understanding and regulation of AI and autonomous decision-making systems.

If you are interested in a particular area, please contact individual group leads or for general enquiries email us.