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
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Type: conference
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Type: article