Taking the AI conversation somewhere most events don't.
Most events on AI cover adoption, efficiency, and innovation. I cover what comes after: the behavioural risks, the cognitive consequences, and the failures no technical dashboard can catch.
Everyone talks about what AI can give you. What are we giving to it in return?
WHO THIS IS FOR
Senior audiences, past the basics.
Drawing on 25 years of NHS communications experience, an MSc in Cyberpsychology, and firsthand involvement in national AI governance, I bring a perspective that is grounded, specific, and deliberately uncomfortable where the evidence requires it. I speak at NHS events, public sector leadership programmes, health-tech conferences, policy forums, corporate leadership events, and professional development programmes. My audiences tend to be senior practitioners who need sharper thinking on harder questions.
THE TALKS
Four talks. One through line.
Each can be delivered as a keynote, panel contribution, or developed into a masterclass or workshop.
Cross sector
What Are We Giving to AI?
We have spent five years asking what AI can do for us. We have barely started asking what we’re doing to ourselves in the process. Every time you use an AI tool, something changes in how you think. Automation bias, the gradual displacement of professional confidence, the erosion of the cognitive habits that make experts expert: well-documented mechanisms, almost entirely absent from the conversation about AI adoption. This talk names the mechanism, explains the science, and ends with one question: are you confident in using AI, or competent in its aftermath?
Health systems, patient pathway and service design, digital health and policy
The AI-Powered Patient
AI is already changing how people experience healthcare, now, not in the future. Patients arrive at consultations having already been reassured or alarmed by AI. They self-diagnose with new confidence, disclose things to chatbots they will not tell their clinicians, and navigate triage algorithms without meaningful consent. This talk asks the questions the field is avoiding: who benefits from AI in healthcare, who bears the risk, and what happens to trust when the answer to both is not the same person?
Health systems, care design, communications and digital leadership
The Judgement Gap
Patients disclose more to chatbots than to clinicians. Not because AI is better, but because human care environments can feel judgemental, time-pressured, and cognitively expensive. The bot is not a solution. It is feedback on something the system has failed to fix. This talk explores why patients feel safer with an algorithm than with another human being, and the equity risks that emerge when chatbots become the default interface for the populations who most need reliable care.
Health, public services, and any workforce navigating AI-driven productivity pressure
The Cognitive Labour Gap
AI does not distribute cognitive effort equally. For some people it reduces friction. For others, those with lower digital literacy, limited language access, or prior experience of bias in digital systems, it increases it. A new form of health inequality, hiding in plain sight inside the productivity narrative. This talk unpacks the productivity paradox: how systems that look successful on paper can quietly erode judgement, trust, and safety in the people expected to use them.
FORMATS
Available in-person and hybrid, across the UK and Europe.
Keynote
Panel contribution
Masterclass or workshop
30 to 45 minutes. For conference openings, leadership summits, and plenary sessions.
For moderated panels and roundtables on AI governance, digital health, and responsible technology.
90 minutes. For leadership teams and digital programmes that want to go further than a keynote allows.
Recent talks and recordings
The AI Powered Patient: Clinical teams readiness
AI Digital Health Conference, Royal College of Physicians June 2026
The patient who walks into your consultation today is not a Dr Google patient with better material. This talk explains what has actually changed, why the usual moves are not landing, and what clinical teams need to be ready for.
The Judgement Gap: Why Patients Tell Bots What They Won’t Tell Doctors
Healthcare Communicators Association Webinar, February 2026
Why patients disclose more to chatbots than to clinicians, and the equity risks that follow when automated systems become the default interface for vulnerable populations.
The Quiet Failures: Why Technically Successful AI Systems Still Fail
Digital Leaders Network, March 2026
What happens after AI goes live: how leaders mistake uptake for trust, consent for confidence, and silence for success.
NHS AI Adoption in Communications
TechPulse Healthcare: Transforming Healthcare with XR and AI, Jan 2026 · hosted by Atif Nasim and Jonathan Probets
Why AI adoption in NHS communications is stalling despite massive patient uptake, and why judgement frameworks matter more than tool access.
The Productivity Paradox: AI, Cognitive Strain, and Quiet Failure
PRCA Sparks: Productivity in PR, with Nigel Sarbutts
Why new technologies often increase workload and cognitive strain rather than reducing them, and why sustainable productivity depends on organisational conditions rather than tool adoption.
BOOKING
The thinking the field is currently avoiding.
If you are looking for a speaker who will give your audience the thinking the field is avoiding, on behavioural risk, on equity, on what AI actually does to the people expected to use it, get in touch.