The OECD.AI Policy Navigator

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.

This initiative is a 2024 technology impact assessment of safe and trustworthy AI conducted by the Ministry of Science and ICT and KISTEP. It evaluates the potential societal effects of healthcare AI, humanoid robots and brain-computer interfaces and recommends future development and policy directions. The assessment involved expert panels, a citizen forum and surveys of 125 experts and 1,000 citizens. It identified key issues and policy tasks concerning privacy, algorithmic bias, AI incident li

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 purpose of the solution is to establish a system for the automatic sorting of incoming mail and documents using AI in IS KRPAN. In the initial phase, it will be used by the Ljubljana Administrative Unit and is expected to increase document-processing efficiency, reduce manual intervention, shorten mail-processing times, lower the risk of errors, increase employee productivity and optimise operating costs, thereby benefiting employees and citizens.

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 is implementing a cross-cutting initiative to integrate AI into public administration, focusing on human resource management and the simplification of administrative procedures. The initiative uses AI and data-driven tools to support workforce management, skills development and decision making, while redesigning and simplifying processes to reduce administrative burden. It aims to improve efficiency, transparency and the quality of services for citizens and businesses.

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.

This initiative provides guidance on how personal data should be handled throughout the lifecycle of generative AI systems. It is intended for organisations and individuals who develop, deploy or use generative AI systems that may process personal data. The guideline was developed to address privacy risks arising from the adoption of generative AI systems and to promote responsible and rights-respecting use of these technologies.

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.

This AI-driven initiative automates the identification of legal overlaps and contradictions within the National Registry of Legislation. It helps government officials and legal experts ensure that new regulations do not conflict with existing laws. By streamlining legislative drafting, the tool benefits legal workers by providing a simplified legal environment.

This initiative uses artificial intelligence to automatically summarise appeals submitted by citizens to the Social Security administration. It helps caseworkers quickly understand the main issues raised and classify each appeal for the appropriate handling. The system was developed to speed up processing times and manage growing workloads while ensuring citizens’ appeals are handled more efficiently.

The Government of Newfoundland and Labrador’s Responsible Use of Artificial Intelligence Policy sets clear rules for how AI can be used safely and responsibly across government. It ensures AI is approved, transparent, and subject to human oversight, while protecting privacy, fairness, and public trust. The policy supports responsible innovation and consistent decision-making across departments.

Bogotá, through its District Commission for Digital Transformation, created official guidelines to guide public entities in the responsible and transparent use of artificial intelligence. The initiative sets out clear rules and a common process with human oversight and risk management. It responds to the rapid growth in the use of AI and aims to build trust and harness innovation to strengthen Bogotá’s position as a digital capital.

A satellite-based AI system was developed for the public water management authority JP “Vode Vojvodine” to detect waterlogging and map risk areas across Vojvodina, helping them make faster and more informed decisions. The platform combines satellite images, weather data and soil information to identify where excess water may cause damage. It was created to reduce agricultural losses and support better planning, prevention and response to extreme weather conditions.