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What does responsible AI look like when we move from principles to implementation?

Artificial intelligence has significant potential to support healthcare professionals and improve patient care. But realising that potential is about more than technological capability. How AI is developed, governed and implemented will influence whether healthcare professionals and patients can understand it, trust it and use it with confidence.

The MPS Foundation's 2025 White Paper, Avoiding the AI 'Off-Switch': Make AI Work for Clinicians to Deliver for Patients, set out seven recommendations for introducing AI decision-support tools in ways that genuinely support clinicians while preserving the human touch in patient care.

This webinar takes the next step: exploring what responsible AI can look like in practice.

Drawing on the current FLEX-DS project funded in 2025 and the earlier SHARED CAIRE project Professor Tom Lawton MBE will share practical lessons from an approach that combines open-source AI models with locally managed infrastructure, enabling healthcare organisations to develop AI capability while keeping sensitive information within their own secure environments.

The session will explore the role of patient and public involvement, secure data environments, open-source AI, governance and trust, and what healthcare organisations are learning as they move from AI experimentation towards implementation.

Wednesday 9 December 2026 @1000 GMT | Online

 

NEWS AND UPDATES

Nov 12, 2026, 15:49 PM
Explore how healthcare organisations can develop and implement AI responsibly. Professor Tom Lawton MBE shares practical lessons on open-source AI, locally managed infrastructure, patient and public involvement, data governance and trust.

 

What does responsible AI look like when we move from principles to implementation?

Artificial intelligence has significant potential to support healthcare professionals and improve patient care. But realising that potential is about more than technological capability. How AI is developed, governed and implemented will influence whether healthcare professionals and patients can understand it, trust it and use it with confidence.

The MPS Foundation's 2025 White Paper, Avoiding the AI 'Off-Switch': Make AI Work for Clinicians to Deliver for Patients, set out seven recommendations for introducing AI decision-support tools in ways that genuinely support clinicians while preserving the human touch in patient care.

This webinar takes the next step: exploring what responsible AI can look like in practice.

Drawing on the current FLEX-DS project funded in 2025 and the earlier SHARED CAIRE project Professor Tom Lawton MBE will share practical lessons from an approach that combines open-source AI models with locally managed infrastructure, enabling healthcare organisations to develop AI capability while keeping sensitive information within their own secure environments.

The session will explore the role of patient and public involvement, secure data environments, open-source AI, governance and trust, and what healthcare organisations are learning as they move from AI experimentation towards implementation.

Wednesday 9 December 2026 @1000 GMT | Online

 

CASE STUDIES

The MPS Foundation is proud to be involved in a range of research projects shaping the future of patient safety.

Here are just some of our recent success stories.

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