COTADS: COdesigning Trustworthy Autonomous Diabetes Systems

Need for trustworthy AI

AI is expected to transform preventative medicine and the management of chronic conditions.

Adoption is dependent on the trust of patients and clinicians

Approach

We bring together people with type-1 diabetes, clinicians, and data scientists to design algorithms for diabetes management during life transitions

We aim to increase trust and understanding using co-design, provenance and explainable AI.

Read our project blogs

Why will codesign methods be critical for acceptance and adoption of AI in chronic disease management?

Developing machine learning models with codesign: how everyone can shape the future of AI

Our project team

Michael Boniface

Professorial Fellow of Information Systems, Director of the IT Innovation Centre, University of Southampton

Lead Contact

Age Chapman

Professor in Computer Science, Co-Director of the ECS Centre for Health Technologies, University of Southampton

Hub Co-Investigator

Aisling O’Kane

Senior Lecturer of Human-Computer Interaction for Health, University of Bristol

Co-Investigator

Paul Marshall

Associate Professor of Human-Computer Interaction, University of Bristol

Co-Investigator

Amid Ayobi

Research Associate in Human-Computer Interaction, University of Bristol

Co-Investigator

Chris Duckworth

Healthcare Research Engineer of the IT Innovation Centre, University of Southampton

Co-Investigator

Anitha Kumaran

Consultant in Paediatric endocrinology and diabetes, University Hospital Southampton

Partner

Matthew Guy

Consultant Clinical Scientist, University Hospital Southampton

COTADS