I work on the governance and politics of artificial intelligence: how we can build institutions and policies that reduce catastrophic risks from advanced AI, including loss of control, concentration of power, and value lock-in. I'm currently researching the political implications of AI-driven labour market disruption.
Before moving into AI governance, I spent a decade as an academic political philosopher, researching how democratic institutions can hold powerful actors accountable.
How should governments oversee frontier AI development? I've worked on questions around reporting requirements, evaluation triggers, and the case for continuous supervisory regimes modelled on financial regulation.
AI-driven labour displacement is likely to have major political consequences. I'm investigating which communities and voter bases face the highest exposure, and what this means for parties and governments.
My academic work analysed trade-offs in governing powerful actors — corporations, markets, states. These frameworks apply directly to the challenge of governing AI companies and the systems they build.
AI governance work in progress. Previous academic publications in political philosophy (full list on Google Scholar):
I also co-created the "Inequality and Democracy" MOOC on Coursera (18,000+ students, 4.8/5 rating).