Taking the AI conversation somewhere most events don't.
If you are looking for a speaker who will give your audience the thinking the field is currently avoiding, on behavioural risk, on equity, on what AI actually does to the people expected to use it, get in touch.
Most AI events cover adoption, efficiency, and innovation. I cover what comes after: the behavioural risks, the cognitive consequences, and the failures no technical dashboard can catch.
The work draws on 25 years in NHS communications, an MSc in Cyberpsychology, and firsthand involvement in national AI governance. The tone is grounded, specific, and deliberately uncomfortable where the evidence requires it.
WHO THIS IS FOR
I speak at NHS events, public sector leadership programmes, health-tech conferences, policy forums, and corporate leadership events. The audience that gets the most from these talks tends to be senior, past the basics, and ready for harder questions.
TALKS
Each talk can be delivered as a keynote (30 to 45 minutes), a panel contribution, or developed into a 90-minute masterclass.
What Are We Giving to AI?
Cross-sector. Suitable for corporate, general leadership, and mixed-sector audiences.
We have spent five years asking what AI can do for us. We have barely started asking what we are doing to ourselves in the process. This talk names the mechanism, explains the science, and gives audiences a framework for understanding their own AI use with the same rigour they bring to everything else. It ends with one question: are you confident in using AI, or competent in its aftermath?
The AI-Powered Patient
NHS, health-tech, and public sector audiences.
AI is already changing how people experience healthcare. Patients arrive at consultations already reassured or alarmed by AI, self-diagnose with new confidence, and disclose things to chatbots they will not tell their clinicians. This talk asks who benefits, who carries the risk, and what happens to trust when the answer is not the same person.
The Judgement Gap
NHS, communications, and digital leadership audiences.
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 person, and the equity risks when chatbots become the default for the populations who most need reliable care.
The Cognitive Labour Gap
NHS, digital health, and policy audiences.
AI does not distribute cognitive effort equally. For some users, 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 inside the productivity narrative. This talk unpacks how systems that look successful on paper can quietly erode judgement, trust, and safety.
PREVIOUS APPEARANCES
The Judgment Gap: Why Patients Tell Bots What They Won't Tell Doctors
Healthcare Communicators Association Webinar · 2026
An exploration of the judgment gap - 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 · 2026
AI-enabled systems often fail in ways leaders don't anticipate, not because the technology doesn't work, but because people don't feel safe enough to use it confidently. This talk examines what happens after AI goes live: how leaders mistake uptake for trust, consent for confidence, and silence for success. If 90% of users are compliant but 0% are giving feedback, do you have a successful rollout, or a ticking time bomb?
NHS AI Adoption in Communications
TechPulse Healthcare: Transforming Healthcare with XR & AI · 2026
Why AI adoption in NHS communications is stalling despite massive patient uptake, what cyberpsychology reveals about the 90% human behaviour dimension of tech adoption, and why judgment frameworks matter more than tool access. Hosted by Atif Nasim and Jonathan Probets.
The Productivity Paradox: AI, Cognitive Strain, and Quiet Failure
PRCA Sparks: Productivity in PR · with Nigel Sarbutts
On why new technologies often increase workload, cognitive strain, and anxiety rather than reducing them, the productivity paradox, and why sustainable productivity depends on organisational conditions rather than tool adoption. With Nigel Sarbutts of the PRCA.