The OECD.AI Policy Navigator

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.

REGi is an internal government AI tool to reduce burden and improving life for people and businesses by making it easier to find red tape and uncover opportunities to modernise laws, regulations, policies and forms. The tool currently uses AI to scan Ontario laws, including regulations, and forms to help identify government rules that businesses and individuals need to follow, including where there may be outdated language and/or overly dense rules. The tool will evolve over time.

Pakistan Digital Authority (PDA) is a statutory body established under the Digital Nation Pakistan Act 2025 to lead Pakistan’s digital transformation. It develops and implements the National Digital Masterplan and coordinates efforts across government and stakeholders. The PDA also provides oversight, standards, and compliance for data governance, AI, and emerging technologies.

The Sindh Cloud First Policy is a provincial government policy issued by the Province of Sindh, Pakistan in 2022 to mandate cloud-based infrastructure across all public sector entities. By establishing a Cloud Acquisition Office and shifting ICT procurement toward scalable cloud services, the policy builds the foundational compute layer required for AI adoption and data-driven governance across provincial departments. The policy benefits all government agencies and the citizens they serve.

This roadmap helps Guanajuato’s government, universities, businesses, and communities use AI in a responsible way that respects people’s rights. It was created to turn UNESCO’s AI ethics guidance into practical steps that reduce risks and make the benefits of AI reach more people. It sets out three phases—learning and engagement, deploying useful solutions, and becoming a leader in ethical innovation.

KAŞİF is an AI-based big data risk analysis system developed by TÜBİTAK BİLGEM for the Republic of Türkiye's Ministry of Treasury and Finance. It analyses daily tax and financial data of over four million taxpayers to identify risky behaviour. The initiative was developed to overcome the limits of rule-based audits and enable early detection of tax fraud, fake invoices and unjustified VAT refunds.

Cali ResuelVE Knowledge Library is an AI-powered tool used in the City’s One-Stop Window to help public servants provide clear and accurate information about procedures and services. It relies on official data to deliver reliable guidance. It was developed to reduce service congestion, improve response quality, and make it easier for citizens to access municipal services.

Flora is an AI-powered conversational assistant for the Municipality of Escobar, Argentina, designed to centralise and automate citizen-government interactions. Operating 24/7, it enables residents to manage health appointments, track administrative procedures, and access public services through a single omnichannel interface. By resolving over 570,000 inquiries annually, Flora reduces waiting times, eliminates bureaucratic friction, and optimises municipal resource allocation.

The Responsible AI Policy promotes the responsible development and use of AI aligned with ethical principles across the whole AI lifecycle. It shapes the direction for providing clear guidance to manage risks while enabling innovation. It promotes ethical and responsible use as well as mitigating harms such as bias, privacy violations, and misuse, while strengthening trust and accountability in AI systems.

AI has witnessed a rapid development in the past two years. Establishing AI offices in government helps coordinate the adoption of Artificial Intelligence in a structured, safe and strategic way. They create opportunities for innovation, stronger governance, and improved trust in AI-powered government services.

Estishraf is an initiative by the Saudi Data and Artificial Intelligence Authority that enables evidence-based decision-making across government. It uses advanced analytics and artificial intelligence to analyse integrated government data, simulate policy outcomes, detect patterns and emerging risks, and generate actionable insights for policymakers. The initiative helps government entities better understand economic and social trends, evaluate policy impacts, strengthen national planning.

This initiative is an AI-powered tool developed for the Saudi Water Authority that automatically reads and interprets complex engineering diagrams used in water desalination plants. It identifies equipment, classifies plant processes, and allows engineers to ask questions about the diagrams through a chat interface. It was developed to reduce the time and manual effort required to analyse these technically complex documents.

This initiative provides updated guidance to help Australian Government agencies safely use publicly available generative AI tools, such as chatbots that can draft text, summarise documents, or answer questions. The guidance explains how staff can use these tools with government information that is not classified or sensitive while protecting personal and commercial information. The guidance was updated to reflect new information security advice from the Department of Home Affairs.

Peru’s National Artificial Intelligence Strategy 2026–2030, approved by the Presidency of the Council of Ministers through Ministerial Resolution No. 152-2026-PCM, is a national strategic instrument designed to organise and coordinate State interventions for the development, governance and management of artificial intelligence. It establishes a long-term vision and provides a framework for strengthening AI capabilities, deployment, oversight and public-sector coordination across the country.

Germany’s Data Center Strategy, published in March 2026, aims to double national data centre capacity and quadruple AI compute and HPC capacity by 2030. The data center strategy identifies three priority areas: energy and sustainability, site availability and land use, as well as technology and sovereignty. These areas are supported by 28 measures to be implemented within the next 12 months.

The agenda serves as a guideline for technological and economic objectives. It reflects the common understanding of the measures required to consolidate Germany's position as a nation of technological innovation, ensure technological sovereignty and maintain economic strength. The focus of the agenda is on the further development of six priority key enabling technologies, one of them artificial intelligence, and the strengthening of five research fields.

It sets out a comprehensive vision for the use of AI systems in the judiciary, along with the necessary action plans and measures to achieve this vision. The strategy aims to harness the opportunities offered by AI for the judiciary at federal and state levels, while taking due account of the associated risks and limitations. Notably, the strategy anticipates providing forward-looking support for judicial and administrative processes, enhancing access to justice, and promoting innovation in AI.

Provides guidance to make it easier for businesses to comply with their privacy obligations when using commercially available AI products and to assist them with selecting an appropriate AI product. Aims to clarify how Australia’s privacy laws apply to AI and outlines practical steps to follow privacy best practices. Developed in response to growing concerns about the use of their personal information to deploy AI products, and uncertainty among industry around how privacy law applies to AI.

The Framework guides the Australian Public Service (APS) in improving governance practices for data related to Aboriginal and Torres Strait Islander people and aims to provide Aboriginal and Torres Strait Islander people greater agency over how their data are governed within the APS. Recognising the importance of data for self-determination, the Framework provides a stepping stone towards greater awareness and acceptance by APS agencies of the principles of Indigenous Data Sovereignty.

Finance developed the Document Register Agent (DRA) an AI-enabled tool that supports a business area to extract and record key information from documents. It uses AI and automation to extract key information from documents and store it in a consistent format. DRA was developed to improve access to historical records, reduce duplication of work, and address problems caused by broken links, inconsistent document formats and limited searchability.