The OECD.AI Policy Navigator

We have developed AI models to help reduce taxpayer compliance costs and improve the efficiency of the tax system. We use these models to prompt individuals completing their tax return online through myTax to help them get it right. The real-time prompts ask the taxpayer to check amounts they have entered for certain tax return labels. This is when the amounts don't match what we expect when compared to other taxpayers with similar attributes or amounts entered in previous years.

The Whole of Australian Government Occupation Coding Service uses AI/ML models and cloud compute to deliver fast, automated occupation coding to Australian standard classifications. It benefits agencies by providing consistent, high quality labour data. Built to replace manual coding which is slow and inconsistent, it solves fragmentation across government and enables real time, scalable coding for surveys, forms, and large datasets.

The Digital Inclusion Act of Korea is a national law that ensures all people can access and use digital and AI-based public services without discrimination or exclusion. It was introduced in response to growing digital and AI adoption that has created barriers for older persons, persons with disabilities and others with limited digital skills. The Act requires the government to plan, assess and improve digital services so that no one is left behind.

This national guideline provides ethical recommendations for the responsible use of artificial intelligence in education. It aims to protect human rights, personal data and children’s well-being while promoting transparency, fairness and accountability. The initiative supports students, teachers, administrators, parents and developers in adopting trustworthy and human-centred AI practices.

The DİLİM Platform is an artificial intelligence-supported initiative designed to help all citizens aged seven and older learn foreign languages through an interactive and gamified mobile and web application. It was developed to provide a personalized learning experience that allows users to practice reading, writing, speaking, and listening at their own pace, regardless of their starting level.

Alberta is advancing a coordinated set of policies and frameworks to ensure AI is used transparently, ethically, and safely across government, protecting Albertans while enabling responsible innovation.

The gov.br Portal's service recommendation feature aims to make it easier for users of Brazilian government public services to find those that best meet their needs. The solution uses artificial intelligence to suggest public services based on the user's navigation within the GOV.BR portal and their use of other federal public services. In a portal with 5,000 available public services, this is an important tool for improving the user experience.

The Smart Labour Market Oversight Model is an AI-powered system developed by Saudi Arabia’s HRSD to proactively detect fraud and non-compliance in the national labour market. It analyses more than 90 million transactions annually to identify suspicious patterns, including ghost employment and occupational inconsistencies, across a labour market comprising more than 5 million establishments and 11 million workers.

This initiative introduces AI support into LATAK’s accreditation work to help staff prepare documents, emails and meeting materials more efficiently. It benefits employees by reducing routine manual work and helps clients receive clearer and more timely services. The initiative was developed to address growing workload and complexity that made it difficult to maintain efficiency and quality using human resources alone.

A service providing agricultural technology information to farmers. The Agricultural Encyclopedia provides a chatbot-based service trained (RAG) on agricultural technical manuals and related data held by the institution. Agricultural Education delivers customised educational video content tailored to users based on membership information. Farm Planning provides necessary information (e.g. production, sales, cultivation) according to different farming stages (preparation, entry, growth stages).

Complex government documents may confuse citizens, making it difficult to access services such as pensions or benefits. This work uses GenAI to rewrite these texts in plain language, maintaining legal accuracy while increasing clarity. Focused on the Service Pages of Italy's National Institute of Social Security portal, which serves 45 million users, AI-generated versions received strong user preference over the original texts, enabling the Institute to communicate inclusively and at scale.

The Judicial Branch (PJMT) adopts an AI governance model structured through strategic and operational committees responsible for guiding, prioritising, and overseeing institutional initiatives. The AI Center serves as the central hub, integrating the development, management, and application of AI across the judiciary. The model includes feasibility analysis, approval workflows, and budgetary, ethical, and legal controls, aligned with National Council of Justice (CNJ) Resolution No. 615/2025.

Citizens send questions to INPS through a web form on different topics. In the past, all messages were checked by contact centre operators at the first level and manually forwarded where necessary to back-office officials at the second level. As a result, most requests were processed twice and answers arrived later. The new system uses AI to automatically send each request to the correct level. This helps citizens receive faster replies and reduces unnecessary work for contact centre staff.

The Ministry of the Interior introduced an AI-enabled initiative to support a permanent system of incentives and rewards for public employees, based on key performance indicators (KPIs). The initiative uses AI-supported digital tools to help link individual and organisational performance with measurable results, while decisions remain under human oversight. It was developed to strengthen performance-based rewards and promote fairness, transparency and motivation across public administration.

Mentor.AI is an artificial intelligence chatbot designed to support hiring agents in the planning stage of government procurement. The tool offers more agility and accuracy when consulting current and updated regulations and guidelines, as well as increasing the transparency and security of the processes.

Rakyat Digital is a national digital learning platform that provides Malaysians with accessible learning in digital literacy, AI awareness and future-ready skills, strengthening citizen readiness to participate in and benefit from Malaysia’s transition towards an inclusive AI Nation by 2030.

Guideline on Artificial Intelligence for the Public Sector (Garis Panduan Artificial Intelligence Sektor Awam) provides guidance for the responsible adoption and use of AI across Malaysia’s public sector. Developed by the National Digital Department Malaysia (Jabatan Digital Negara, JDN), it supports government agencies in understanding AI opportunities, managing risks, and applying appropriate governance, ethical and security considerations throughout the AI lifecycle.

The National Guidelines on Artificial Intelligence Governance and Ethics (AIGE) provide a voluntary framework to promote the safe, ethical and responsible development and use of AI in Malaysia. Launched by the Ministry of Science, Technology and Innovation (MOSTI) in September 2024, AIGE establishes seven core AI Principles and provides guidance for AI users, policymakers, developers and technology providers.

The Boardroom Primer to AI Adoption and Governance is a voluntary, non-binding guidance document designed to help boards, directors and senior management strengthen oversight of AI adoption and governance. It provides practical guidance on understanding AI, assessing AI adoption, managing risks, strengthening organisational governance and evaluating board AI readiness.

The Voluntary AI Code of Ethics (AICE) is a voluntary, non-binding guidance document that supports organisations in translating Malaysia's seven (7) AI Principles into practical implementation across the AI lifecycle. It supports organisations in applying AI ethics principles across the AI lifecycle and promotes trustworthy, human-centred AI practices.