BehSci Meets AI: Health, Care and Human Behaviour in an AI-Mediated World
From Innovation to Implementation
AI is moving rapidly from research labs and pilots into real healthcare settings. It is shaping how people seek care, how clinicians make decisions, how conditions are monitored, and how responsibility and trust are distributed across systems.
This event focuses on the behavioural realities of AI in health. Not just whether systems work technically, but how they affect patients’ understanding, clinicians’ judgement, adoption in practice, and public trust. As consumer health tools proliferate and clinical AI faces increasing scrutiny, the questions are no longer hypothetical - they are practical, ethical, and behavioural.
We are bringing together people working across health technology startups, the NHS, academia, and policy to explore what it takes to move from promising innovations to safe, effective, and more important, human-centred implementation.
This event will explore questions such as
How does AI change patient behaviour, expectations, and trust in care?
What happens to clinical judgement and responsibility when AI becomes part of everyday practice?
How should behavioural evidence inform clinical validation, approval, and regulation of AI tools?
Where do consumer health technologies find the balance between support, guidance, and medical intervention?
What does it take for AI-powered health startups to move from prototypes to trusted, widely used products?
What does meaningful wellbeing look like when algorithms increasingly mediate care?
How do AI mental health technologies shape users’ help-seeking behaviour and what is the consequence on long-term well-being?
You will likely enjoy this event if you are interested in
Designing or evaluating AI systems that affect patient health, care, or wellbeing
Understanding how people actually engage with health technologies outside of controlled trials
Bridging behavioural science, clinical practice, and real-world deployment
Exploring trust, safety, and accountability in health AI beyond surface-level ethics
Event format
In-person, discussion-led evening with a strong emphasis on networking, connecting people working across health, technology, research, and policy
3–4 speakers from consumer health startups, clinical practice, academia, and policy
Short introductory remarks from each speaker to ground the discussion
Moderated Q&A panel, drawing connections across perspectives and real-world challenges
Open conversation and networking throughout, with time to connect informally after the panel