Project overview
COTADS explored how to increase trust of AI used for diabetes management inside and outside clinical settings during life transitions. AI is expected to provide a crucial role in the management of chronic conditions, yet technology-driven solutions are unlikely to be adopted. AI design must consider the complex medical, lifestyle and socio-technical needs at times of uncertainty and life transitions. COTADS brought together people with diabetes, clinicians, and data scientists in a novel co-design process for diabetes risk stratification. Using co-design, provenance, and explainable AI, we enhanced ways to ensure solutions are understandable, transparent, trustworthy, and beneficial.
Staff
Lead researchers
Other researchers
Collaborating research institutes, centres and groups
Research outputs
Amid Ayobi, Jacob Hughes, Christopher J Duckworth, Jakub J. Dylag, Sam James, Paul Marshall, Matthew Guy, Anitha Kumaran, Adriane Chapman, Michael Boniface & Aisling Ann O'Kane,
2023
Type: conference
Christopher Duckworth, Matthew J. Guy, Anitha Kumaran, Aisling Ann O’Kane, Amid Ayobi, Adriane Chapman, Paul Marshall & Michael Boniface,
2022, Journal of Diabetes Science and Technology
Type: article