After excelling at swimming as a teenager, May wanted to continue pursuing her love of sport at undergraduate level. This led her to study BSc (Hons) Sport Management and Coaching at Bath, where she’s developed a love for research thanks to a professional placement at Western University in Canada.
During that time, May was part of the team that organised the International Centre for Olympic Studies (ICOS) Biennial Symposium, bringing leading researchers together to discuss the use of AI in sport. This has inspired her to pursue a master’s degree and aim for a future role working as part of the 2032 Olympic Games.
We caught up with her to find out more about her journey.
You’re doing your professional placement at Western University in Canada as a Research Assistant. Tell us more about that?
It’s been a fantastic experience working as part of the International Centre for Olympic Studies (ICOS) at Western. ICOS researches different social and cultural themes related to the Olympic Games and the Paralympic Games, and the wider Olympic movement.
I’ve been working with amazing academics and staff, whose research is so interesting and impactful. I generally help with everything the Centre does day-to-day, so things like research organisation, data analysis and event coordination.
The latter has been one of my highlights as I was part of organising the Centre’s 17th International Symposium for Olympic and Paralympic Research. This was hosted in Naples at the University of Campania Luigi Vanvitelli and coincided with the Milano Cortina Winter Olympics 2026. It focused on the rise of AI use in sport and its potential impacts on Olympic athletes, which has really inspired me.
Tell us more about your interest in AI and sport?
This is a really under-researched topic, which has been fascinating for me. I’ve had the chance to look at the rising ethical issues of this technology as it gets used more widely. Some have started to view the tool as a replacement for coaching, rather than something that should be used as part of a more holistic approach.
Nowadays, pretty much anyone doing a sport can use AI tools to assess movements and technique. They can get quick feedback that, in theory, will enhance performance. This sounds great, but there are real dangers around how it’s used.
AI tools can’t understand the human context; they just process and apply the data. This can have a detrimental effect on athletes’ wellbeing, especially at grassroots levels. It applies pressure on individuals to push themselves harder, without factoring in their health, injury, or personal stresses.
An example of this may be a young female gymnast looking back at routines that have not gone well. They may have been on their period, or be overexerting a certain muscle group, or have been tired and stressed with schoolwork — any of which could lead to underperformance.
The AI doesn’t know any of those factors and will simply give suggestions to improve the physical actions. This could lead to the person getting injured or feeling that they’re not good enough or not capable – both of which threaten long-term participation. However, a good coach can apply context to work around these things and keep them healthy and engaged.
There are also problems at the elite level with top coaches. They are catching up with these AI tools and how to use them effectively alongside their own holistic coaching approach, so research into this is really important.