Image: Alan Warburton / © BBC / Better Images of AI / Quantified Human / CC-BY 4.0

AI’s increasing use in healthcare can undoubtedly bring benefits: enhancing efficiency and improving diagnosis, treatment and access to care.

At the same time, there are questions and concerns about how personal data is used, and if AI undermines equity.

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

Join us for a lively debate featuring an expert panel:

LEO ANTHONY CELI is 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 routinely collected health data.

LEX FEFEGHA is the co-founder of design and innovation studio Comuzi, recognised internationally for his work on algorithmic bias.

TIARNA LEE is a PhD student at King’s whose work explores racial and gender biases in AI-based segmentation and classification tools.

DENIS NEWMAN-GRIFFIS is a lecturer in data science at University of Sheffield whose research spans artificial intelligence, critical disability studies, health informatics and linguistics.

This event will also be live streamed. Select the ‘Live stream’ ticket option and you will receive the link by email closer to the event.