Related Outputs
These resources are by Tom Barraclough from Brainbox Institute, as part of ongoing work on sovereign AI and AI regulation in New Zealand.
Sovereign AI for New Zealand — Discussion Paper
The discussion paper that underpins this diagram. It maps the factors involved in pursuing sovereign AI and argues for an ecosystem approach built on literacy, infrastructure, fine-tuning, and governance — rather than a monolithic national project.
The Policy Problem (Wasting Time on AI, 5 of 6)
Part five of a six-part blog series on AI regulation in New Zealand. This post addresses the difficulty of setting a clear guiding policy direction for AI, and proposes sovereign AI as a coordinating vision that can align activity across government, industry, academia, and communities.
Sovereign AI Policy Architecture — 3D Diagram
This interactive 3D visualisation contrasts monolithic and pluralistic approaches to sovereign AI. It shows why threading a single entity through every layer of the AI stack is structurally infeasible, and how a networked ecosystem of specialised actors can achieve sovereignty through collaboration and handoffs.
You’re looking at it.
The Business of Tech — Podcast
An interview with Peter Griffin on the BusinessDesk Business of Tech podcast, discussing the case for steady, ecosystem-based approaches to AI sovereignty and regulation.
AI and Society Seminar — Victoria University of Wellington
A panel presentation on sovereign AI as part of the AI and Society seminar series at Te Herenga Waka — Victoria University of Wellington, 6 March 2026.
Seminar series page →
Slides (PDF) →
CC BY 4.0 — Tom Barraclough · tom@brainbox.institute