Public Service AI Framework
The Public Service AI Framework supports the responsible use of Artificial Intelligence technologies across the New Zealand Public Service. It sets a vision, defines five key OECD-informed principles, outlines the relevant national policy and legislative context, and details six pillars of the Government Chief Digital Officer's AI work programme. The framework serves as non-binding guidance to help agencies innovate safely, manage risks, and maintain public trust.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Public service leaders, decision-makers, practitioners, and influencers looking for guidance on deploying AI lawfully and responsibly within New Zealand government agencies.
What the document contains
The document covers the vision, principles, scope, audience, and definitions for AI use within the New Zealand Public Service. It outlines the broader legal and policy context, details the GCDO's six pillars for AI work, and suggests practical ways agencies can apply the framework to development, policy formulation, skills building, and evaluation.
The framework is explicitly non-binding and does not establish standalone binding regulations, statutory penalties, or enforcement mechanisms for non-compliance.
- The framework provides non-binding guidance to help New Zealand public service agencies adopt AI responsibly and safely.
- It is built around five core OECD-informed principles: inclusive sustainable development, human-centred values, transparency and explainability, safety and security, and accountability.
- The guidance operates within New Zealand's existing light-touch, risk-based AI regulatory approach and aligns with current legislation like the Privacy Act 2020 and Public Service Act 2020.
- The Government Chief Digital Officer's work programme is guided by six pillars: governance, guardrails, capability, innovation, social licence, and global voice.
· Overview of the Public Service AI Framework · Intended outcome of the Framework · Why do we need a Framework? · Scope and audience of the Framework · What kinds of AI does the Framework apply to? · Vision of the Framework · The 5 principles of the Framework · Background to the Framework principles · New Zealand policy context · GCDO Public Service AI Work Programme · Applying the Framework · Contact us
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
AI use within the Public Service should be subject to oversight by accountable humans with appropriate authority and capability at every stage.
The 5 principles of the Framework
screening score · 2026-10-24
Fairness
4/5Non-discrimination and equitable treatment
Public Service AI systems should contribute to inclusive growth and sustainable development through a focus on innovation, efficiency and resilience, and on reducing economic, social, gender and other inequalities
The 5 principles of the Framework
screening score · 2026-10-24
Human Dignity
4/5Respect for the inherent worth of persons
These rights and laws include personal data protection and privacy, dignity, non discrimination and equality, self determination and autonomy.
The 5 principles of the Framework
screening score · 2026-10-24
Human Oversight
4/5Humans remain in control of consequential decisions
Agencies need to provide human oversight throughout the AI lifecycle to ensure ethical and appropriate use.
The 5 principles of the Framework
screening score · 2026-10-24
Privacy
4/5Protection of personal data and private life
These rights and laws include personal data protection and privacy, dignity, non discrimination and equality, self determination and autonomy.
The 5 principles of the Framework
screening score · 2026-10-24
Transparency
4/5Openness about how AI systems work and are used
To support this, agencies should publicly disclose: when AI systems are used how they were developed how they affect outcomes
The 5 principles of the Framework
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
screening score · 2026-10-24
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
AI evaluation — using the Framework to assess AI initiatives against its key values, principles and rules.
Applying the Framework
screening score · 2026-10-24