Govern AI before it governs you.
Keynotes, fractional Chief AI Officer and board advisory, from the author of Constitutional Democracy in the Algorithmic Age.
Built in production, at scale
The work sits between engineering and legal, which is where most governance programs fail. Lawyers write requirements engineers can't implement. Engineers ship systems lawyers can't defend. I've spent 25 years on both sides of that table.
- AirbnbHead of AI Governance PolicyLed AI governance policy and delivered a 69% improvement in compliance.
- EricssonGlobal Head of AI InnovationLed a 350+ person AI organization across three countries, and worked with operator account teams to sell AI products to Telstra, Telefónica, Verizon and AT&T.
- 4PIAFounder and CTOBuilt the platform and team that Ericsson acqui-hired.
- Navigator TechnologyFounder and CEORan a 240+ person company and closed multi-year contracts with SAP, Facebook and the City of Richmond.
On stage
Boards, C-suites and engineering teams. I translate governance requirements into decisions someone can act on Monday.
- Building board-ready AI governance
- EU AI Act compliance, from policy to code
- Rights by design: protections in the architecture
- Algorithmic accountability for the C-suite
Production systems, not reference architectures
Built for financial services and healthcare AI, where the framework has to satisfy a regulator and a revenue target at the same time.
- 38-control governance frameworkEU AI Act compliance, deployed across a multi-billion dollar AI product portfolio.
- Privacy-preserving trainingPatent-pending distributed learning that lets institutions train on data they can't pool.
- Algorithmic impact assessmentA board-ready protocol that cut audit findings without degrading model performance.