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As AI is increasingly being implemented in healthcare, it can bring potential benefits enhancing efficiency, improving diagnosis and treatment, as well as access to healthcare provision.

At the same time, there are concerns and questions about how AI can affect people’s healthcare journeys, how health data is used, or whether AI can undermine equity.

As we continue to face urgent health problems across the globe, how can we design better AI systems and technologies that do not create or continue to perpetuate health disparities, as currently faced by vulnerable groups? And how can we address challenges such as bias, privacy, or trust?

Join this session for a lively debate featuring an expert panel including:

LEO ANTHONY CELI, clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology, whose work brings together clinicians and data scientists to support research using data routinely collected in the process of care;

ALEX FEFEGHA, co-founder of design and innovation studio Comuzi, recognised internationally for his work on algorithmic bias;

TIARNA LEE, a King’s College London researcher whose work explores racial and gender biases in AI-based segmentation and classification tools.

DENIS NEWMAN-GRIFFIS, Lecturer in Data Science at University of Sheffield, whose research spans artificial intelligence and data science, critical disability studies, health informatics and linguistics

This event will also be live streamed - select the live stream ticket option when registering and you will receive the link by email closer to the event.


About Science Gallery London

Science Gallery London is a place to grow new ideas across art, science and health. It is King’s College London’s unique public space that brings together academics, researchers, students, artists and local communities. Science Gallery London presents exhibitions, events, performances, live experiments, open discussions and festivals.

Event details

Science Gallery London
Great Maze Pond, London, SE1 9GU