The OECD.AI Policy Navigator

The Inter‑American Framework on Data Governance and Artificial Intelligence (MIGDIA), launched in 2023 by OAS member states, provides a roadmap to guide the development of data governance for AI. It is implemented through thematic guidelines, a regional study and a model policy to support countries in building national data and AI governance frameworks.

The ASEAN Guide on AI Governance and Ethics is a regional framework providing practical guidance for organisations and governments to design, develop and deploy AI systems responsibly. It promotes alignment and interoperability across ASEAN and includes governance measures and recommendations at national and regional levels to ensure ethical and trustworthy AI.

The APEC Digital & AI Ministerial Meeting, first held on 4 August 2025 in Incheon, is a regional initiative bringing together 21 member economies to advance cooperation on artificial intelligence and digital transformation. It is implemented through ministerial discussions and a shared statement setting a common vision focused on innovation, connectivity and safety to guide future AI and digital cooperation.

The initiative promotes the development of an Arab strategy on artificial intelligence through strengthened regional cooperation, including the exchange of expertise and use of smart applications. It emphasises building technical and digital skills through training curricula, while addressing legal, ethical and social concerns such as human rights, data protection, cybercrime, and the safe use of AI to support sustainable development aligned with national priorities.

The Continental Artificial Intelligence Strategy, adopted by the African Union in July 2024, aims to harness AI for Africa’s socio-economic transformation and sustainable development in line with Agenda 2063. It proposes a five-year implementation period (2025–2030) and sets out policy actions to maximise benefits, build capabilities, minimise risks, stimulate investment and foster regional and international cooperation.

The Global Dialogue on AI Governance, established by the United Nations General Assembly following the Global Digital Compact, is a platform for governments and stakeholders to convene on AI governance. Launched in September 2025, with its first session in July 2026, it aims to foster international cooperation, share best practices and enable open, inclusive discussions to ensure the benefits and governance of AI are shared globally.

The Independent International Scientific Panel on AI, established by UN General Assembly Resolution A/RES/79/325 on 26 August 2025, is the first global scientific body on artificial intelligence. It brings together 40 experts to assess how AI is transforming society and to provide rigorous, independent scientific insight to inform international deliberations, as envisaged under the Global Digital Compact (A/RES/79/1).

The UNESCO Recommendation on the Ethics of Artificial Intelligence, adopted on 23 November 2021, is a global normative framework guiding Member States and stakeholders to ensure AI systems benefit humanity while preventing harm. It outlines values, principles and policy actions covering the entire AI lifecycle, promoting human rights, transparency, inclusiveness, and international cooperation through voluntary implementation.

The Data (Use and Access) Act 2025, enacted on 19 June 2025 by the UK Parliament, establishes a broad legislative framework governing data access, privacy, and digital services. It covers customer and business data access, personal data processing, electronic communications, health and social care information standards, biometric data retention, trust services, and provisions relating to copyright and the development of artificial intelligence systems.

AI Guidelines for Business (Ver1.2), issued on 31 March 2026, provide unified guiding principles for AI governance in Japan. They aim to promote the safe and secure use of AI by helping business actors recognise risks and take voluntary countermeasures across the lifecycle, supporting both innovation and risk reduction through cooperation and a risk-based approach.

The NIST Artificial Intelligence Risk Management Framework (AI RMF) is a voluntary framework released by the U.S. National Institute of Standards and Technology to help organisations manage risks associated with the design, development, deployment and evaluation of AI systems, with a focus on promoting trustworthy and responsible AI.

Published on 8 June 2020 by the UK Office for Artificial Intelligence, the Guidelines for AI Procurement provide central government departments with guiding principles for procuring AI technologies. Developed with the World Economic Forum, Government Digital Service, and Crown Commercial Service, they cover the end-to-end procurement process, including data governance, impact assessment, market engagement, ethical deployment, and lifecycle management.

Published on 20 March 2025, the AI and Cyber Risk Model Clauses initiative by BuyICT.gov.au makes available a collection of contractual clauses for inclusion in digital and ICT procurement contracts in Australia. The AI model clauses support responsible, ethical, and secure procurement of AI systems, including custom solutions, embedded AI products, and internal AI tools, promoting transparency and accountability.

The MCC-AI-Light (Model Contractual Clauses for Non-High-Risk AI) is a working document published in February 2025 by the European Commission to support public administrations in procuring non-high-risk AI solutions.

Opinion 28/2024 on certain data protection aspects related to AI models, adopted on 17 December 2024, provides guidance on the processing of personal data in the development and deployment of AI models. It clarifies when models can be considered anonymous, how legitimate interest may be used as a legal basis, and the consequences of unlawful data processing, supporting consistent GDPR application.

The Conseil de l'intelligence artificielle et du numérique (Council for Artificial Intelligence and Digital Technology) is an independent advisory body placed under the authority of the French minister responsible for artificial intelligence and digital affairs. Established by decree on 8 December 2017 and restructured by a further decree of 4 September 2025, it operates on a mandate running 2025–2027.

The Protection of Personal Information Act (POPIA), South Africa's data protection law, was assented to by Parliament on 19 November 2013, with most provisions commencing on 1 July 2020 and a one-year grace period for compliance ending on 30 June 2021. Its purpose is to protect individuals from harm by safeguarding their personal information, preventing financial and identity theft and upholding privacy as a fundamental human right.

The Digital Decade Policy Programme 2030 establishes a governance framework and common targets for the Union’s digital transformation, including priorities directly relevant to artificial intelligence such as advanced digital skills, high‑performance computing, cloud and edge infrastructure, and the uptake of AI by businesses and public services.

The IndiaAI Mission, approved by the Indian Cabinet in March 2024 with a budget of Rs. 10,371.92 crore, aims to establish a comprehensive national AI ecosystem implemented by the IndiaAI Independent Business Division under the Digital India Corporation. It comprises seven pillars: AI compute infrastructure of 10,000 or more GPUs, an innovation centre for indigenous foundational models, a unified datasets platform, an AI application development initiative, a skills programme, startup financing,

Japan’s Roadmap for Smart City Initiatives, issued in 2024 by the Cabinet Office, sets out a phased national framework for advancing smart cities as part of Society 5.0, explicitly incorporating the use of data, AI and large‑scale digital infrastructure—such as platforms supporting data analysis, AI applications and cloud‑based computing—to improve urban management and public services.