AI in action - Bite-sized guides
Short, practical modules designed to build shared understanding of AI risks, judgement and oversight in regulatory work.
Overview
This series breaks down the Responsible AI in Action guidance into short, focused guides that cover the key questions regulators need to navigate when using AI in practice.
Each guide can be read on its own, but together they build a coherent picture of how to use AI safely, effectively, and in a way that maintains public trust.
The series is designed to complement the full guidance by providing practical, accessible entry points into the core themes, helping leaders and practitioners quickly find what matters for their role while linking back to more detailed guidance where needed.
Further reading
The Public Service AI Framework, consistent with OECD guidance, sets a clear expectation that
people interacting with government AI systems should be aware of and understand how AI is
being used. For regulators, this reinforces the importance of human judgement, clear
reasoning, and explainable decision-making.
Public Service AI frameworks and guidance:
- Responsible AI Guidance for the Public Service: GenAIopen_in_new
- Public Service AI Framework | NZ Digital Governmentopen_in_new
- Artificial intelligence and the Information Privacy Principlesopen_in_new
- Government algorithm transparency and accountabilityopen_in_new
Frameworks and guidance in relation to legislation:
- Generative AI guidance for lawyersopen_in_new
- Strengthening the rule of law in Aotearoa New Zealandopen_in_new
References for Māori data and Māori data sovereignty:
- Te Mana Raraunga | Māori Data Sovereignty Networkopen_in_new
- Māori data and AI – guidance for businessopen_in_new
- Co-designing Māori data governanceopen_in_new
Procurement: