As AI tools move from pilot to point of care, from ambient scribes and triage engines to diagnostic imaging support and clinical decision aids, the law is struggling to keep pace. When an AI-assisted decision leads to patient harm, who is responsible: the clinician who relied on it, the hospital that deployed it, or the company that built it?

Join us over breakfast for an interactive workshop bringing together clinicians, lawyers, developers and healthcare leaders to confront the medico-legal questions that clinical AI raises. Our panel, comprising a practising clinician using AI in daily care, a clinical negligence solicitor, a medical defence representative and a health-tech regulatory specialist, will guide participants through realistic case scenarios and small-group discussion.

Topics will include:

• Liability and the standard of care: is it negligent to follow an AI recommendation? Is it negligent to ignore one?
• Informed consent: what patients should be told about AI involvement in their care, and how to document it
• Automation bias and clinical judgement: keeping meaningful human oversight in practice
• Data protection and privacy: patient data, training datasets, and the risks of ambient recording and generative AI tools
• Procurement and governance: due diligence, contracts, indemnities and validation before deployment
• Regulation: medical device classification, evolving regulatory frameworks, and professional guidance on AI use
• Bias, transparency and explainability: what happens when you can't explain why the model said what it said
• Adverse events and duty of candour when AI is involved

Participants will leave with a practical risk checklist for adopting AI tools, sample consent and documentation language, and a clearer sense of how to innovate without exposing themselves, their patients or their organisations to avoidable harm.