Website for the Turing AI Fellowship programme at the University of Oxford

TURING AI FELLOWSHIP

TURING AI Fellowship

The TURING AI Fellowship is a five-year programme funded by UKRI EPSRC looking at how to develop next generation AI-assistive technology for healthcare applications. We use ultrasound scanning as a guiding use case because of our group’s expertise on this topic and its suitability to look at many of the current leading-edge questions in healthcare AI around topics such as human-AI collaboration, federated learning, human skill assessment, and AI adoption in clinical settings.

As artificial intelligence (AI) starts to be deployed in clinical practice, there are big questions about how this will change decision-making in healthcare. AI for full automation of tasks has received most attention, whereas what is arguably more useful in healthcare is for AI to enable humans and AI to share tasks and decision-making. This shifts the view of AI as an automation technology that replaces human skill, to one that empowers individuals to perform tasks; with the AI acting as an instructor, or a team member (peer or assistant) depending on context. However, human-AI decision sharing and joint decision-making is currently not well understood and requires deeper understanding of topics such as human trust in AI and AI interpretability. These are topics that we are studying.

The Fellowship is divided into four work packages.