Public Service AI Framework
The Public Service AI Framework supports the responsible and safe use of Artificial Intelligence technologies across the New Zealand Public Service. It sets out a vision, five core values-based principles adapted from the OECD, and six pillars for the Government Chief Digital Officer's AI work programme. While non-binding, the framework encourages public service agencies to align their AI adoption with existing legal, ethical, and privacy standards.
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 involved in designing, deploying, or governing AI within New Zealand government agencies.
What the document contains
The document covers the vision, principles, scope, and strategic work programme for deploying artificial intelligence within the New Zealand Public Service. It outlines expectations for human oversight, transparency, data traceability, and alignment with existing legislative guardrails.
The framework is non-binding and lacks direct enforcement mechanisms, standalone regulatory penalties, or technical compliance checklists for specific software implementations.
- The framework provides non-binding guidance for New Zealand Public Service agencies on implementing AI safely and responsibly.
- It establishes five core principles: inclusive sustainable development, human-centred values, transparency and explainability, safety and security, and accountability.
- The Government Chief Digital Officer's work programme is organized around six pillars: governance, guardrails, capability, innovation, social licence, and global voice.
- Agencies are expected to operate within existing New Zealand legislation, such as the Privacy Act 2020 and the Public Service Act 2020.
- The framework adopts the OECD definition of an AI system.
· 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 · 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.
Accountability
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
Inclusive, sustainable development
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.
Human-centred values
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.
Human-centred values
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.
Human-centred values
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
Transparency and explainability
screening score · 2026-10-24
Enforcement
1/5Consequences and compliance mechanisms with real force
Agencies are encouraged to align with the direction set by this Framework, however it’s not binding.
Overview of the Public Service AI Framework
screening score · 2026-10-24
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
They should minimise risk to individual or national safety and security under normal use, misuse or adverse conditions. The Public Service should ensure traceability of data, apply a robust risk management approach
Safety and security
screening score · 2026-10-24