Resources

Notes on governing AI in health

Research findings and practical guidance on AI governance and delivery, written for people who have to act on them.

Agentic AI · 29 September 2026

Having oversight is not the same as oversight that works.

An agent sets sub-goals, calls tools and acts across systems long after the original instruction — so the thing you approved is not necessarily the thing that runs. Notes from halfway through a course on applied agentic AI, and the bounded assurance agent that came out of it.

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AI governance · 21 September 2026

Most AI ethics frameworks hold up on paper. The gap is accountability.

A Master of Research case study applied the NSW AI Assurance Framework to a real clinical AI system. Governance already covers most ethics principles well — except accountability, which sits across clinicians, vendors, IT and governance committees, not with any one owner.

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