What I bring
Independent scrutiny grounded in engineering practice, AI ethics research, international standards, and years of explaining difficult trade-offs to people who have to make decisions about them.
Board and advisory work
I take selected Non-Executive Director (NED) and Advisory Board roles where AI creates difficult strategic, ethical, or safety questions. I help boards challenge assumptions and turn good intentions into decisions that survive contact with reality.
Independent scrutiny grounded in engineering practice, AI ethics research, international standards, and years of explaining difficult trade-offs to people who have to make decisions about them.
Technology companies, regulated organisations, public-interest institutions, investors, and mission-led ventures whose use of AI has consequences beyond a single product team.
Candour, curiosity, and a strong preference for governance that actually works. The goal is a board that asks better questions, catches weak signals early, and makes clear decisions under genuine uncertainty.
Board value
Map how agentic AI, autonomy, synthetic media, machine welfare, and emerging regulation may alter the organisation’s opportunities, dependencies, and risk envelope.
Clarify accountability, escalation routes, decision rights, assurance evidence, and the conditions under which a system should pause or stop.
Interrogate optimistic assumptions without smothering useful innovation. Surface the questions that tend to vanish somewhere between the model team, the executives, legal counsel, and the board — usually in the gap where everyone assumes someone else is worrying about it.
Help organisations earn confidence through intelligible commitments, measurable safeguards, and honest communication about uncertainty.
Relevant foundations
My work spans hands-on machine learning engineering, authorship of Taming the Machine and Safer Agentic AI, leadership in international AI standards, and research into AI governance, agentic AI safety, machine welfare, and bilateral alignment. I am President of the European Responsible AI Office, chair IEEE standards work on transparency and on identifying human and machine agency, and am Vice-Chair of IEEE 7001, on the transparency of autonomous systems.
The problem: a governance policy can lose its meaning between a platform’s decision and a device’s physical action.
My contribution: I built an open-source, local-first gate beside the actuator. It checks signed, short-lived, device-bound rules and lets a reviewed adapter choose a safe response, such as holding, landing, or escalating.
Why it matters: a board can ask where a constraint is enforced, what happens when authorisation expires, and who can inspect the evidence. Explore Bounder and its simulator.
The problem: people can be misled about whether a message, interaction, or piece of media comes from a human, a machine, or both.
My contribution: I chair the working group behind IEEE 3152-2024, which defines categories of human and machine agency and ways to disclose them visually, audibly, and in words.
Why it matters: transparency becomes a concrete product and procurement question: what will a person be told, and at which point in the interaction? Read the plain-English guide.
I start every formal appointment with an honest account of duties, decision rights, access to evidence, confidentiality, and potential conflicts. I disclose my own interests and expect the organisation to do the same. Where independent judgement cannot be protected, I will say so and step back.