For people and planet
Heralded as the fourth industrial revolution, AI has the potential to assist in solving many of the complex societal challenges that UCL’s research community is working to tackle. Almost every week brings progress, from advances in self-driving cars to new diagnostic tools for eye disease.
But as the pace of technological change increases, the stakes for society get higher. At UCL, we are uniquely placed not only to understand the technological progress that breakthroughs in AI bring, but to consider the ways in which society must respond to their application in everyday life.
Our multidisciplinary strengths and our track record of disruptive thinking mean that opportunities for exploration extend to all corners of our university — from the Queen Square Institute of Neurology to the Slade School of Fine Art, and everywhere in between.
Join the UCL AI community in a purposeful collaboration committed to achieving AI for People and Planet.
““By coming together, we can create a positive social agenda for AI that ensures that the whole of society shares in the potential opportunities and benefits.” - Professor Geraint Rees, Dean of the Faculty of Life Sciences and Pro-Vice-Provost for AI
UCL's Centre for AI
As we transition to a more automated society, our sophisticated hub in fundamental AI brings together more than 150 researchers from across the broad Computer Science area to focus on the creation of new AI technologies and advising on the use of AI in science, industry and society.
Through a shared interest in fundamental challenges in Machine Vision, Machine Learning, Machine Reading and Knowledge Representation, the Centre takes inspiration from the vast array of applications across UCL and acts as the engine of methodological progress.
Our AI research
An artificial intelligence tool could be an effective way of identifying retinopathy of prematurity (ROP), the leading cause of childhood blindness in middle-income countries
UCL expertise in environmental hazards, machine learning and research computing will help build resilience to high-impact weather events and climate change.
An artificial intelligence tool, developed by scientists at UCL, UCLH and UCL-spinout Odin Vision, has been refined to identify hard to spot ‘flat’ polyps that can become highly aggressive and are a major cause of bowel cancer.