The New Zealand government has issued new guidance for regulators on the use of artificial intelligence (AI) to improve productivity and efficiency across the public sector. Regulation Minister David Seymour said the initiative aims to help government agencies reduce inefficiencies and modernize regulatory operations.
According to the government, the guidance is designed to support regulators in applying AI in lower-risk areas while maintaining human oversight for decision-making processes. The move comes as New Zealand maps the full scale of its regulatory environment, revealing years of complexity and overlapping structures.
New Zealand currently has more than 260 regulators, including agencies in central government, local government bodies, and statutory organizations. The government believes AI can help these institutions manage workloads more effectively and improve service delivery.
The guidance highlights several ways AI can support regulators, including detecting non-compliance earlier, identifying emerging risks, improving monitoring and inspection priorities, and analyzing large datasets to uncover patterns that may otherwise be difficult to identify manually.
AI tools are also expected to reduce administrative workloads for both regulators and regulated entities by automating repetitive tasks and accelerating data processing.
Despite the push toward AI adoption, the government emphasized that key regulatory decisions will continue to rely on human judgment, legal interpretation, and accountability. The guidance focuses on helping agencies understand where AI can be used appropriately while ensuring transparency and responsible implementation.
The initiative aligns with the government’s broader objective of improving efficiency within public services and reducing regulatory complexity. Officials believe that better use of technology could help lower administrative costs and strengthen productivity across government systems.
The new guidance reflects a growing trend among governments worldwide to explore AI-driven approaches that modernize operations while balancing oversight, governance, and public accountability.
