Comprehensive guide to multilateral AI governance initiatives — OECD AI Principles, UNESCO Recommendation, G7 Hiroshima Process, Council of Europe Framework Convention, Global Partnership on AI, and UN activities.
Last updated: February 2026 10 Sections Global Scope
International AI governance operates through a complex web of multilateral frameworks, each with different membership, legal status, and scope. Understanding this landscape is essential because national AI regulations are increasingly shaped by — and measured against — these international norms.
Framework
Year
Legal Status
Membership
Focus
OECD AI Principles
2019 (updated 2024)
Non-binding
38 OECD + 8 partner countries
Trustworthy AI principles; policy recommendations
UNESCO Recommendation
2021
Non-binding (normative instrument)
193 member states
Ethics of AI; values and principles; policy areas
Council of Europe Convention
2024
Legally binding (treaty)
Open to CoE members + non-members
Human rights, democracy, rule of law in AI
G7 Hiroshima Process
2023
Non-binding
G7 nations
Advanced AI (foundation models); code of conduct
GPAI
2020
Non-binding
29 member countries
Multi-stakeholder research and policy
UN Advisory Body
2023-2024
Advisory
UN membership
Global AI governance architecture
2. OECD AI Principles
2.1 Background
The OECD Recommendation on Artificial Intelligence (May 2019, updated May 2024) was the first intergovernmental standard on AI. It has been adopted by 46 countries and has influenced virtually every national AI strategy developed since.
2.2 The Five Principles
Principle
Description
Implementation Implications
1. Inclusive growth, sustainable development, and well-being
AI should benefit people and the planet, driving inclusive growth, sustainable development, and well-being
The 2024 revision updated the principles to address developments since 2019:
Generative AI: Expanded scope to explicitly cover foundation models and generative AI
Interoperability: Emphasis on interoperability of AI governance across jurisdictions
Environmental impact: New attention to AI’s energy consumption and environmental footprint
Information integrity: New principle area on AI and misinformation/disinformation
2.4 OECD AI Policy Observatory
The OECD maintains the AI Policy Observatory (OECD.AI), the most comprehensive database of national AI policies worldwide, tracking 800+ policy initiatives across 70+ countries.
3. UNESCO Recommendation on the Ethics of AI
3.1 Background
Adopted by all 193 UNESCO member states in November 2021, this is the first global normative instrument on AI ethics. While non-binding, its universal adoption gives it significant normative weight.
3.2 Values & Principles
Category
Values/Principles
Values
Human rights and human dignity; Living in peaceful, just, and interconnected societies; Ensuring diversity and inclusiveness; Environment and ecosystem flourishing
Principles
Proportionality and do no harm; Safety and security; Right to privacy and data protection; Multi-stakeholder and adaptive governance; Responsibility and accountability; Transparency and explainability; Human oversight and determination; Awareness and literacy; Fairness and non-discrimination; Sustainability
3.3 Readiness Assessment Methodology
UNESCO developed a Readiness Assessment Methodology (RAM) to help countries evaluate their preparedness for ethical AI governance. As of 2025, over 50 countries have completed or are conducting RAM assessments, identifying gaps in legal frameworks, institutional capacity, and technical infrastructure.
4. Council of Europe Framework Convention on AI
4.1 Historic Significance
First Binding International AI Treaty: The Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy, and the Rule of Law (adopted September 2024) is the first legally binding international treaty on AI. Open to both CoE members and non-members (including the US, Canada, Japan, and others who participated in negotiations), it establishes baseline obligations for AI governance worldwide.
4.2 Key Provisions
Scope: Applies to AI systems throughout their lifecycle, covering public and private sector use
Human rights protection: Parties must ensure AI respects human rights as protected by the European Convention on Human Rights and other international instruments
Transparency: Persons interacting with AI must be informed; ability to understand AI decisions affecting rights
Accountability: Effective remedies for human rights violations caused by AI
Risk management: Risk-based approach to AI governance with assessments proportionate to risk
National security exception: Parties may exclude national security activities, but must ensure such activities respect international law
4.3 Signatories
As of early 2026, the treaty has been signed by the EU, US, UK, Canada, Japan, Israel, and multiple CoE member states. Ratification processes are underway in several countries.
5. G7 Hiroshima AI Process
5.1 Background
Launched at the G7 Summit in Hiroshima (May 2023), the Hiroshima AI Process focused specifically on governance of advanced AI systems, particularly foundation models and generative AI.
5.2 Outputs
Document
Content
Target
Guiding Principles for Advanced AI
11 principles for organizations developing, deploying, and using advanced AI systems
All actors in AI value chain
Code of Conduct for Advanced AI
Voluntary code with detailed actions implementing the guiding principles
Primarily AI developers
Comprehensive Policy Framework
Policy recommendations for G7 governments on AI governance
G7 governments
5.3 The 11 Guiding Principles
Take appropriate measures throughout the development of advanced AI systems
Identify and mitigate risks across the AI lifecycle
Report advanced AI capabilities, limitations, and domains of appropriate/inappropriate use
Invest in responsible AI development
Develop and implement robust information security measures
Develop and deploy reliable content authentication and provenance mechanisms
Prioritize research to mitigate societal, safety, and security risks
Develop and deploy advanced AI systems for identified societal challenges
Invest in developing standards, tools, and practices for responsible AI
Support the development and adoption of international AI standards
Implement appropriate data governance and protection measures
6. Global Partnership on AI (GPAI)
6.1 Structure
GPAI was launched in June 2020 by 15 founding members and has grown to 29 members. In December 2024, GPAI merged with the OECD, becoming the OECD’s AI governance hub.
6.2 Working Groups
Working Group
Focus
Key Outputs
Responsible AI
Trustworthy AI implementation; algorithmic fairness; human rights
Responsible AI assessment frameworks; bias mitigation guidance
Data Governance
Data access; sharing; privacy; quality for AI
Data trusts research; cross-border data flows guidance
Future of Work
AI impact on labor markets; skills; worker rights
Worker voice in AI adoption; skills frameworks
Innovation and Commercialization
AI ecosystems; startups; adoption barriers
SME AI adoption guides; compute governance research
7. United Nations Activities
7.1 UN Secretary-General’s High-Level Advisory Body on AI
Established in 2023, the 39-member advisory body published its interim report (“Governing AI for Humanity”) in December 2023 and final report in September 2024:
Key recommendation: New international AI governance institution(s) under UN auspices
Proposed functions: International scientific panel on AI; policy dialogue forum; standards coordination; capacity building
Global Digital Compact (2024): AI governance included as key component of the GDC adopted at the Summit of the Future
7.2 UN Agency Activities
Agency
AI Activity
Focus
ITU
AI for Good platform; Focus Groups on AI
Standardization; AI for SDGs; health AI; environmental AI
WHO
Ethics & Governance of AI for Health
Health AI ethics; LMM guidance; regulatory considerations
ILO
AI and the World of Work
Labor market impacts; worker protection; just transitions
WIPO
AI and IP policy
Patent; copyright; TDM; AI inventorship
UNICEF
Policy Guidance on AI for Children
Children’s rights in AI; age-appropriate design; education
UNHCR
AI in humanitarian contexts
Refugee identification; humanitarian response; data protection
8. Other Multilateral Initiatives
Initiative
Participants
Focus
Status
UK AI Safety Summit (Bletchley Park)
28 countries + EU
Frontier AI safety; Bletchley Declaration
Annual; Seoul 2024; Paris 2025
AI Safety Institutes Network
US, UK, Japan, Canada, EU, Singapore, others
Coordination of national AI safety institutes; shared evaluations