The OECD.AI Policy Navigator

An OMB memorandum establishing federal procurement requirements for the efficient and responsible acquisition of AI systems, including a 'Buy American' AI provision, risk management obligations, and interoperability protections.

The 'Introduction to AI Assurance' (February 2024), led by the UK Department for Science, Innovation and Technology, is a guidance initiative to help organisations understand and implement AI assurance. It introduces concepts, tools and practices to measure and communicate the trustworthiness of AI systems, supporting safe, responsible deployment and alignment with UK AI governance principles.

South Korea's AI Basic Act was passed by the National Assembly on 26 December 2024, taking effect January 2026. It consolidates 19 bills into a national governance framework, establishing an AI Master Plan, the National AI Committee, and an AI Safety Institute, while supporting the AI industry through R&D, data infrastructure, clusters, and SME/startup assistance, and setting transparency, safety and accountability obligations for high-risk and generative AI.

The Agentic AI Hub is a German initiative by the Federal Ministry for Digital and State Modernization, launched on 9 March 2026, pairing 17 municipalities with ten start-ups across 18 pilot projects covering administrative tasks such as housing benefit and naturalisation. Startups and municipalities were selected from around 400 start-up and almost 200 municipal applications.

SPARK ("Accelerating Planning and Approval through AI") is a German initiative developed by the Federal Ministry for Digital and State Modernization and financed via the Climate and Transformation Fund. It provides agentic AI tools that accelerate complex planning and approval procedures by analysing application files, checking completeness and plausibility, and preparing decision proposals, while final decisions remain with staff. The tools were released as open source in April 2026.

The Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems, issued by Innovation, Science and Economic Development Canada in September 2023, is a voluntary commitment under which organisations developing or managing generative AI systems adopt measures to identify and mitigate associated risks, aligned with six outcomes: accountability, safety, fairness and equity, transparency, human oversight and monitoring, and validity and robustness.

Guidance for AI Adoption: Implementation Guidance (October 2025) is an Australian Government initiative providing a framework for responsible AI adoption. It outlines six practices covering accountability, impact assessment, risk management, transparency, testing and human oversight, helping organisations plan, implement and govern AI systems while mitigating risks and aligning with international standards.

The HHS AI Strategic Plan (2025) outlines a roadmap for the responsible use of AI across health, public health, and human services in the U.S. It aims to improve outcomes, efficiency, and equity while managing risks such as bias and privacy issues, focusing on innovation, trustworthy AI, access to technologies, and workforce development.

AI for Care is Ireland’s Artificial Intelligence Strategy for Healthcare for 2026–2030, developed by the Department of Health and the Health Service Executive. It aims to promote the safe, responsible use of AI across health and social care by improving patient care, efficiency, and research, implemented through a strategic roadmap, four pillars (clinical care, operations, research, public health), and an AI Implementation Framework.

The Artificial Intelligence Strategy for the Spanish National Health System (eIASNS), approved in July 2024, aims to ensure the coordinated, ethical, and equitable adoption of AI across healthcare services. It establishes governance, promotes skills development, and supports use cases such as clinical decision support and administrative automation, with the goal of improving care quality, efficiency, and patient outcomes.

The Medical Artificial Intelligence R&D Roadmap (2024–2028), published in September 2024, is a national initiative to strengthen the development and adoption of AI in healthcare. It aims to improve medical services, support AI-based medical devices and drug development, and enhance data utilisation by developing interoperable health data systems, while reinforcing regulatory frameworks, ethics, and workforce capabilities to ensure safe and effective implementation.

The “Stratégie intelligence artificielle et données de santé 2025‑2028” is a French government initiative launched in July 2025 to structure the use of health data and artificial intelligence. It aims to improve access, sharing, and quality of health data while supporting AI deployment through regulation, governance, infrastructure, and training, in alignment with European data regulations and national innovation programmes.

The SOTE AI Vision 2035 sets out a Finnish joint vision for AI use in healthcare and social welfare. Developed in May 2025 through a Polis discussion and two workshops with around 300 ecosystem members, it envisions AI coordinating prevention, making independent decisions, and ensuring equal service access across Finland, with recommended actions on legislation, competence, data and collaboration.

The Joint AI plan for the safe and effective use of AI in the Norwegian health and care services (2024–2025) aims to increase the use of safe and effective AI systems to maintain or improve service quality and free up time for healthcare professionals. Led by the Directorate of Health with partner agencies, it is implemented through sector collaboration, an AI council, cross-agency regulatory guidance, frameworks for AI use, work on large language models and strengthened AI competence.

Japan’s Artificial Intelligence Basic Plan establishes the government’s policy framework for promoting the research, development and utilisation of AI-related technologies. It sets out basic concepts, policy directions and priority measures, including accelerating AI utilisation, strengthening development capabilities, advancing governance, and promoting societal transformation, together with arrangements for implementation and coordination across government.

Japan’s 2025 AI Act establishes the country’s first dedicated legal framework for artificial intelligence, focusing on promoting research, development, and utilisation rather than imposing strict regulation. The law sets out basic principles and a national policy framework, including a “Basic AI Plan” and coordinated governance structures, while encouraging voluntary action by businesses.

Sweden’s AI strategy is a comprehensive national framework to make the country a global top-10 AI leader. It promotes responsible, secure, and trustworthy AI while strengthening innovation, research, and competitiveness. The strategy focuses on increased adoption across society, improved public services, and international cooperation, supported by an action plan and annual follow-up.

Magnifica Humanitas is an encyclical issued by Pope Leo XIV on 15 May 2026, addressing safeguarding human dignity in the era of artificial intelligence. It calls for immediate and ongoing action to ensure AI serves the common good through ethical governance, regulation, education and shared responsibility. The initiative promotes transparency, accountability and international cooperation to counter inequality, exclusion and technocratic dominance.

A major US national initiative launched by Executive Order on 24 November 2025, led by the Department of Energy (DOE), to harness artificial intelligence and advanced computing to transform the pace and scale of American scientific discovery and engineering.

A federal guidance letter from the Department of Labor directing state and local workforce development boards to use WIOA funding to integrate AI literacy and skills training into programmes for youth, adults, and dislocated workers.