• Provide a national overview of the AI policy and governance landscape and its significance for health and care
• Explore how regulators, NHS bodies, and the National Data Guardian are working together to ensure safe, responsible adoption of AI
• Highlight the importance of transparency, accountability, and building sustained public trust in the use of health data for AI

• Participants will be able to articulate the key infrastructure components (data interoperability, governance, cybersecurity, validation pipelines) required to support AI in health
• Participants will learn how to assess existing organisational readiness (culture, leadership, workflows) for integrating AI safely
• Participants will gain insight into strategies to phase in AI adoption (pilot to scale) while managing risk, monitoring, and continuous improvement

• NHS England’s latest buyer guidance and assurance frameworks for AI scribes and tools
• How policy aligns with medical device regulations and GP IT standards
• Opportunities and challenges in embedding generative AI in front-line primary care

Linda Vernon, Head of Digital Empowerment, Lancashire & South Cumbria Integrated Care Board

Dan Howl, Head of Policy & Public Affairs, BCS, The Chartered Institute for IT

• Explore how AI can support, not replace, clinicians and the wider workforce
• Understand the skills, training, and culture shift needed for safe and effective adoption
•  Discuss workforce planning: ensuring equitable access, reducing burden, and embedding AI into daily practice

• Map the evolving regulatory architecture for AI as a Medical Device in the UK
• Diagnose real-world challenges in deploying AI in practice and learn the regulatory expectations to mitigate them
• Identify pathways for collaboration and international alignment to support patient safety and innovation

• Understand key human-factors issues in deploying AI in clinical settings 

• Identify the critical data and system design challenges for trusted AI in healthcare, including data quality, algorithm transparency/explainability, bias and validation in real-world contexts

• Evaluate strategies to integrate AI/decision‐support tools effectively into clinical workflows and mobile/remote health settings, considering user-experience, trust and uptake

• Analyse how parliamentary inquiries, local policy pilots, and ethical frameworks are shaping AI governance in the UK health and care context
• Discuss how tools and frameworks developed through partnerships can inform regulators and NHS bodies
•  Identify pathways for aligning national safety regulation with community-level innovation and adoption

Saif Ahmed, Associate Medical Director Digital & Clinical Digital Lead for Transformation, Tameside and Glossop ICFT & Health Innovation Manchester 

Nell Thornton, Improvement Fellow, The Health Foundation

• Understand how Secure Data Environments can support safe and effective AI use in healthcare
• Explore how NHS, community, and social care data can be better connected for AI innovation
• Learn how to balance data access with privacy, security, and public trust
• Understand how the UK’s leadership in establishing a global AI regulatory network informs data governance and innovation in health AI.