CHAI Events
Events Funded by our Events Call
“We would also like to express our heartfelt thanks to the CHAI Hub for their generous sponsorship and invaluable support, which made this event possible. Overall, the workshop was a resounding success, providing valuable insights, inspiring new directions for research, and reinforcing our collective commitment to advancing the role of causal AI in healthcare policy and practice.”
The Workshop on Causal AI in Healthcare Policy & Practice
This workshop was held on 6 October 2025 at St Luke’s Chapel, Radcliffe Observatory Quarter, Oxford, was an exceptional and inspiring event. Organised by Catia Nicodemo, Aziz Sheikh, and Cristina Tealdi, it brought together leading academics, researchers, and practitioners to explore innovative ways of applying causal artificial intelligence to contemporary healthcare challenges.
Throughout the day, participants engaged with pioneering ideas — from Bayesian approaches to causal inference and the integration of digital technologies in care, to discussions surrounding the regulation, evaluation, and implementation of AI in healthcare systems. Each presentation offered fresh perspectives on how AI can be responsibly and effectively utilised to improve patient outcomes and inform policy development.
The workshop fostered an atmosphere of collaboration and intellectual curiosity, encouraging meaningful dialogue and paving the way for future research partnerships.
We would also like to express our heartfelt thanks to the CHAI Hub for their generous sponsorship and invaluable support, which made this event possible. Overall, the workshop was a resounding success, providing valuable insights, inspiring new directions for research, and reinforcing our collective commitment to advancing the role of causal AI in healthcare policy and practice.
Reflections from Professor, Catia Nicodemo - event organiser.
Past Events
CHAI at AI UK 2025
The CHAI Hub was excited to be a demonstrator at AI UK 2025 | The Alan Turing Institute.
Our demonstration focused on ‘Imaginable Imaging’ where attendees had the opportunity to explore how Causal Generative AI could be used to model counterfactual medical images.
Reach out to the CHAI Hub to learn more!
Causal AI in Healthcare Workshop
Date: Thursday 9th January 2025, 9:20 - 13:55
Location: University of Exeter, XFi Building, Streatham Campus
The CHAI Hub was excited to partner with Exeter Health Analytics to host an in-person workshop. This event introduced key concepts and methods of causal AI in healthcare, highlighted research opportunities, and provided information on funding opportunities.
This initiative aimed to build a local research community engaged with the CHAI Hub and, encourage novel ideas that could lead to groundbreaking applications of causal AI in healthcare.
UKAIRS Festival of Ideas - 8th & 9th of September 2025
Reflections on UKAIRS 2025 from Dr. Steph Riley
The inaugural UK AI Research Symposium (UKAIRS) took place at Northumbria University, Newcastle from 8th – 9th September. The two days were jam packed with a variety of talks showcasing the work being undertaken as part of UKRI funded projects and programmes.
There was a big CHAI presence at the conference, presenting our recent research across the hub.
Across the conference there was a heavy emphasis on trustworthy AI and using AI for good. Beyond the uses of AI in healthcare, it was also great to see how AI is being used to improve many aspects of society. Some of my personal highlights were using AI to detect transphobic content online and the ethical considerations when using AI in the music industry.
The main conference was followed by an early career researcher (ECR) day on 10th September, which focused on career development for ECRs. I particularly enjoyed the session on engaging with policy in AI research, which talked about how researchers can get involved in developing and improving government policies.
All in all, UKAIRS was a great experience to learn about different AI research taking place across the country. It was fantastic to bring the whole hub together and see everyone beyond the Teams screen!