Data and AI in healthcare can feel opaque and intimidating to the general public. Imperial College London, supported by NIHR and Cancer Research UK among others, wanted to create a guide that would demystify these topics and give people the confidence to engage with how their health data is used.

I helped translate the content into a series of illustrations for the printed and digital guide, and art directed four animated videos accessible via QR codes within the booklet: What is Bias in Data, Correlation and Causation, What is an Algorithm, and What is Artificial Intelligence.

The challenge was finding visual language for abstract concepts — making ‘algorithmic bias’ or ‘correlation vs causation’ tangible without oversimplifying. I worked with the Imperial team to develop illustrations and animation that respected the complexity while remaining genuinely accessible to a non-specialist audience.