I design and build AI governance courses that move learners from principles to real decisions, including a collaboration with the National AI Centre and a program for finance professionals.
Every course I build embeds a practical model, an appropriateness and risk-of-harm test at the point AI is deployed, and the four ways governance most often fails, so learners leave with judgement, not just definitions.
No meaningful human check at the moments that matter.
AI use that isn't visible to those affected by it.
No way to question, appeal or correct an outcome.
Risks identified but never actually assessed or managed.
Applied when AI is engaged for a task, not message by message, judged on impact and reversibility:
1. Can it cause harm to the sender or recipient?
2. Can the recipient tell it's wrong and push back, to a human?
3. Is it reversible?
Collaborating with the National AI Centre (NAIC) on its foundational AI governance course, end to end, from content to a polished, accessible learner experience.
A four-module program taking finance professionals from governance principles to applied practice, with real case studies and decision tools.
AI governance contextualised for the people who have to live with it, one core build, tailored live to the sector in the room.
Governance for school leaders and boards, safe, age-appropriate, and aligned to national guidance.
Research integrity, teaching and administration, governance across the whole institution.
Practical governance for teams and executives adopting AI in the business.
From a national foundations course to a sector-specific program, let's design one that fits your people.
Discuss a course