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This free, day-long event brings together experts from a range of fields to discuss the ethics of implementing AI in healthcare.

As Artificial Intelligence (AI) technology rapidly advances across healthcare, critical ethical challenges emerge. Is it safe for AI to prescribe medications? Can clinicians ethically rely on AI for diagnoses? How do we build trust in AI systems? What role does patient subjectivity play in this evolving landscape? Are we at risk of dehumanization in AI-driven medicine? And how can both clinicians and patients stay empowered during these transformative times?

Join us for an engaging in-person, free event dedicated to the ethics of AI in healthcare. This day will feature insightful keynote speeches and dynamic panel discussions that tackle the ethical dilemmas of implementing AI in routine clinical care. Our speakers will share effective strategies for stakeholders to translate ethical principles into actionable practices, ensuring human integrity in medicine. Topics will range from accountability and legal liability to the risks of dehumanization and disempowerment.

This event will unite thought leaders from academia, government, the medical sector, industry, and the patient community. Together, we will explore our collective responsibility in proactively addressing ethical risks and safeguarding human dignity in an AI-driven medical future.

Don’t miss this opportunity to engage with experts, share ideas, and contribute to a vital conversation about the future of ethics in healthcare.

This event is led by Dr Raquel Iniesta, Reader in Statistical Learning for Precision Medicine at the Institute of Psychiatry, Psychology & Neuroscience, King's College London.

Programme

9:30 - 10:00: Welcome and registration

10:00 - 10:15: Opening remarks: Dr Raquel Iniesta

10:15 - 10:55: Sara Cerdas, Former MEP, Shadow Rapporteur of the Regulation on European Health Data Space and Rapporteur of the Report on Mental Health

10:55 - 11:35: Dr Rupa Chilvers, Deputy Director for Life Sciences and Innovation, Welsh Government

11:35 - 11:50: Break and networking - refreshments provided

11:50 - 12:50: Panel Discussion One

Sara Cerdas, Dr Rupa Chilvers, Sarah Markham (Patient Representative, Visiting Researcher, King's IoPPN), Basab Bhattacharya (Clinical Informatics and Radiologist Lead, Barking, Havering and Redbridge University Hospitals NHS Trust), Beatrix Fletcher, (AI Programme Manager, Guy’s & St. Thomas NHS Foundation Trust), Robin Carpenter (Head of AI Governance and Policy, Newton's Tree)

12:50 - 14:00: Lunch break and networking - lunch provided

14:00 - 14:40: Professor Payam Barnaghi, Professor of Machine Intelligence Applied to Medicine, Imperial College London

14:40 - 15:20: Professor Susan Shelmerdine, Consultant AI Paediatric Radiologist, Great Ormond Street Hospital

15:20 - 15:30: Break and networking - refreshments provided

15:30 - 16:30: Panel Discussion Two

Dr Nenad Tomasev (Senior Staff Research Scientist at Google DeepMind), Professor Payam Barnaghi, Professor Susan Shelmerdine, Dr Ellie Asgari (Consultant Nephrologist, Guy’s and St Thomas’ Hospital), Elena Torrente (Digital Health Director, DKV), Katherine Barrett (Patient Representative)

16:30 - 17:00: Closing remarks: Dr Raquel Iniesta

 

Travel: We encourage our attendees to choose sustainable or active travel options, please see our guidance on the King’s website for more information: www.kcl.ac.uk/climate-sustainability/how-to-be-sustainable/sustainable-travel

Access: The venue is wheelchair accessible with a lift on all floors. For more details on access at Science Gallery London, visit its page on AccessAble.

 

Funders and Collaborators

Responsible Ai UK (RAI) is an international ecosystem for responsible AI research and innovation.

UKRI - UK Research and Innovation invests in research and innovation to enrich lives, drive economic growth, and create jobs and high-quality public services across the UK.

NIHR Maudsley Biomedical Research Centre (BRC) is part of the NIHR and hosted by South London and Maudsley NHS Foundation Trust in partnership with King's College London. We are part of King's Health Partners Academic Health Sciences Centre.

King's College London is an internationally renowned university delivering exceptional education and world-leading research.

Disruptive & Emerging Technology Alliance is a global Open Public Policy Lab dedicated to forging new paths of collaboration among governments representing the leading tech hubs worldwide.

 

At this event

Raquel Iniesta

Reader in Statistical Learning for Precision Medicine

Event details

Theatre & Atrium at the Science Gallery London
Science Gallery London
Great Maze Pond, London, SE1 9GU