The OECD.AI Policy Navigator

Data governance in Ireland is overseen by the Data Governance Board under the Data Sharing and Governance Act 2019, enabling transparent data sharing across Public Sector Bodies. The OGCIO Data Governance Unit provides a Playbook to ensure secure, transparent sharing under the Act. This PoV shows how governed AI agents can support drafting DSAs at Stage 3 of the Playbook, with no autonomous decisions, full Human in the Loop oversight, and strong adherence to governance principles.

Japan is developing a prototype AI agent that automates routine administrative work common across ministries/agencies, allowing policymakers to focus on strategic tasks. By combining the knowledge of government staff with Digital Agency’s engineering skills the aim is to create user‑centered tools that fit real operations and gather issues from frontline teams, prioritize feasible improvements, and accelerate practical solutions while also reducing burdens caused by outdated rules and procedures

This initiative predicts future costs for each water plant and for each main spending category, such as electricity, chemicals, labor, and maintenance. It helps finance and operations teams plan budgets better, spot unusual cost increases early, and make better decisions on where to control spending. It was developed to improve cost visibility, reduce surprises in future expenses, and support more efficient management of water production assets.

The Province of Córdoba (Argentina) developed an autonomous AI agent system that monitors, diagnoses, and resolves incidents in the digital infrastructure supporting public services. Operating across government cloud platforms serving 3.8 million citizens, it reduces service disruptions from hours to minutes while creating full audit trails for every automated action. https://infografia-aws-gob-cba.vercel.app/

National professional development programme led by the UAE Ministry of Education and delivered in partnership with the Emirates College for Advanced Education to equip teachers and school leaders to integrate AI into teaching, assessment and school practice. It builds practical capability across seven curriculum-aligned AI areas, including AI foundations, data and algorithms, ethical use, classroom applications and innovation. Launched at GITEX Global 2025, scaling to train 5,000 educators.

AISI Deutschland is a national competence and evaluation center for Frontier AI models. It combines technical, strategic, and security policy expertise within a single central institution. AISI Deutschland is intended to enable the Federal Government to - identify safety and security-related risks at an early stage, - develop evidence-based courses of action, - strengthen Germany’s digital sovereignty with regard to AI safety and security, and - strategically assess international developments.

Japan's Digital Agency ran a pilot from December 2023 to March 2024 testing how text-based generative AI could improve government work. Officials at central ministries and selected local governments used a chat platform with multiple large language models, examining use cases including public comment processing, regulatory drafting, and code generation. The pilot generated practical knowledge on where generative AI delivers efficiency gains and quality improvements in administration.

Since 2018, Japan’s Cabinet has approved a new Integrated Innovation Strategy each year, providing an end-to-end plan from basic research to social implementation of AI and science policy. The series operationalises Japan’s multi-year STI Basic Plans and realises Society 5.0 by coordinating AI, quantum, biotech and other technologies across government. It benefits researchers, industry and citizens through sustained investment and governance of emerging technologies.

The Council on Human-Centric AI Social Principles is an advisory body established in 2018 under Japan's Cabinet Office to develop and maintain ethical principles for AI development and deployment. It developed the Social Principles of Human-Centric AI in 2019, which guide Japan's approach to AI based on three core values: dignity, diversity & inclusion, and sustainability. The Council continues to meet annually to review and update guidance in response to technological development.

A set of guides designed to help public servants and the general public understand and responsibly use AI tools, without requiring prior IT knowledge. They provide an overview of Generative AI, its limits and risks, practical guidance for ethical use in the Brazilian public sector, tips for selecting tools, and best practices for prompt design, demystifying AI and supporting its responsible adoption.

The initiative integrates five specialised AI assistants into Chat-JT, the Brazilian Labor Justice's official tool. They support the entire conciliation cycle: from intelligent screening of high-potential settlement cases to strategic risk and burden-of-proof analysis. The system also enables immediate updates of complex calculations during hearings using the SELIC rate and savings indices, ensuring precision and agility in the judicial process.

The Air Travel Complaints Artificial Intelligence Initiative focuses on improving decision quality and consistency through AI‑enhanced drafting support, automating document and case‑file summarisation to streamline workflows, and accelerating complaint handling to deliver faster, more proportional, and higher‑quality resolutions.

The Unified Intelligent Assistant is an AI powered conversational tool developed by the Ministry of Digital Transformation that is integrated into existing websites to help users quickly find reliable information from government portals. It reduces the burden on traditional support channels by automating answers to recurring questions and provides 24/7 access to clear, user friendly information.

The Nusuk Card System is a comprehensive IoT and AI-driven crowd management initiative designed to facilitate and secure the Hajj journey for over 1.8 million pilgrims. By utilising RFID-enabled smart cards and a network of over 800 surveillance cameras equipped with AI analytics across the Holy Sites, the system tracks pilgrim movements, ensures adherence to scheduling plans, and prevents overcrowding.

This initiative develops an AI-powered inspection tool that helps SFDA inspectors verify whether food, pharmaceutical, cosmetic, and medical device products comply with SFDA regulations. Inspectors can photograph or scan a product, and the system automatically extracts key details and checks them against official registration databases and safety standards. The tool was developed to reduce manual inspection time, minimise human error, and strengthen public health protection.

RASID is an AI-powered inspection system developed by the Saudi Food and Drug Authority to support inspectors at border checkpoints. The system analyses images of medicines carried by travelers to detect controlled substances and verify compliance with regulatory rules. It improves inspection speed, accuracy, and consistency while protecting public health and preventing misuse of restricted drugs.

New Zealand’s Responsible AI Guidance for the Public Service: GenAI is updated guidance to support Public Service organisations and officials to explore generative artificial intelligence (GenAI) systems in ways that are safe, transparent and responsible. The guidance is part of a suite developed by the Government Chief Digital Officer (GCDO) including an AI toolkit, case studies, and other resources to be developed over time.

New Zealand’s AI Scribe for Emergency Departments is an AI clinical documentation tool used nationwide to support emergency health services. Ambient, generative AI securely transcribes consultations with patient consent and automatically creates quality draft clinical notes, summaries and referral letters. Clinician time is prioritised for more direct patient care with faster documentation enabling more patients to be seen each shift.

The Research Support Service is an integrated platform leveraging hyper-scale AI to support the entire research process, from topic identification to report writing and dissemination of outcomes. It primarily targets public researchers, including those from the National Research Council for Economics, Humanities and Social Sciences and its 26 affiliated research institutes. It was developed to efficiently analyse vast volumes of policy research data and enhance research quality and productivity.

In January 2025, Ontario brought the Enhancing Digital Security and Trust Act, 2024 (EDSTA) into force. EDSTA builds a foundation to support the responsible use of AI through: introducing a definition of “artificial intelligence system” in alignment with leading jurisdictions, and creating regulation-making authorities to set accountability, risk management and transparency requirements and technical standards around the use of AI systems for select public sector organisations.