Eating disorders

Artificial Intelligence (AI) has potential applications in scaling and optimising efforts to prevent eating disorders (EDs).

While evidence-based interventions can prevent the development of EDs and reduce risks, their widespread implementation is often hindered by barriers such as financial constraints, postcode lotteries, and limited human resources. Dr Nadia Craddock from the University of the West of England is investigating whether AI can offer cost-effective, user-centred solutions to reach larger populations, particularly those from underserved groups, with prevention interventions.

The project will start with a review of existing applications of AI for mental health prevention (such as for anxiety and depression) to identify lessons that can be applied to eating disorder prevention. This will be followed by a two-part stakeholder consultation phase.

First, the team will interview experts (e.g., AI technical specialists, online safety representatives from social media platforms, industry regulators) to gain a deeper understanding of opportunities, challenges, and other considerations for using AI in preventive mental health interventions. Second, they will invite young people to complete a survey to share their perspectives. Learnings will be synthesised into an agenda for (1) researchers and (2) industry stakeholders which will be shared as a written report and via an online webinar.