{"slug":"international","name":"International organisations (OECD, UNESCO, UN, G7, ISO)","short_name":"International","iso_code":null,"jurisdiction_type":"supranational","region":"International","subregion":null,"overview":"Cross-border instruments that shape national AI policy without being national law: the OECD Recommendation on AI (2019, revised 2024) whose definition of an AI system is used by the EU AI Act; the UNESCO Recommendation on the Ethics of AI (2021) adopted by 193 states; the UN General Assembly's first AI resolution (March 2024) and the 2025 resolution creating a Global Dialogue on AI Governance and an Independent International Scientific Panel; the G7 Hiroshima Process code of conduct for advanced AI developers (2023); the Bletchley Declaration from the first AI Safety Summit (2023); and ISO/IEC 42001, the certifiable AI management-system standard (2023).","regulatory_status_summary":"Non-binding recommendations, declarations and a voluntary standard; binding effect arises only through national implementation or contractual adoption.","binding_vs_guidance":"Binding: none recorded. Strategy or guidance: OECD AI Principles (Recommendation on AI); UNESCO Recommendation on the Ethics of AI; UN General Assembly resolution 78/265 on safe, secure and trustworthy AI; G7 Hiroshima AI Process code of conduct; Bletchley Declaration (AI Safety Summit 2023); ISO/IEC 42001:2023 AI management system.","current_priorities":null,"regulators":[{"name":"OECD.AI Policy Observatory","url":"https://oecd.ai/","role":"Tracks national AI policies and OECD instruments"},{"name":"UNESCO – Ethics of Artificial Intelligence","url":"https://www.unesco.org/en/artificial-intelligence/recommendation-ethics","role":"Implements the 2021 Recommendation"},{"name":"UN Office for Digital and Emerging Technologies","url":"https://www.un.org/digital-emerging-technologies/","role":"Secretariat for the Global Dialogue on AI Governance"}],"official_sources":[{"title":"OECD Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449)","publisher":"OECD","url":"https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449","document_date":"2024-05-03","document_type":"official","tier":1},{"title":"Recommendation on the Ethics of Artificial Intelligence","publisher":"UNESCO","url":"https://unesdoc.unesco.org/ark:/48223/pf0000381137","document_date":"2021-11-23","document_type":"official","tier":1}],"related_jurisdictions":["eu","council-of-europe","us","uk","japan","asean"],"url":"https://aipolicytracker.org/jurisdictions/international","source":{"official_source_url":"https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449","source_title":"OECD Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449)","source_publisher":"OECD","source_document_date":"2024-05-03","source_reference":null,"source_tier":1,"last_checked_at":"2026-09-26","last_verified_at":"2026-09-26","review_status":"verified","confidence_level":"medium","content_version":1,"change_summary":"Added in the September 2026 global coverage expansion; overview composed from the listed instruments and official sources. Reviewer to confirm regulators and status.","reviewed_by":"Bhaskar Bhatt"},"policies":[{"slug":"g7-hiroshima-process-code-of-conduct-for-advanced-ai","id":"AIPT-POL-0101","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0101","title":"Hiroshima Process International Code of Conduct for Organizations Developing Advanced AI Systems (G7, 30 October 2023)","short_title":"G7 Hiroshima AI Process code of conduct","jurisdiction":"international","instrument_type":"code_of_practice","status":"voluntary_standard","is_binding":false,"ai_specific":true,"issuing_body":"G7 Leaders (Hiroshima AI Process)","summary_plain":"Eleven voluntary actions for organisations developing the most advanced AI systems, including foundation and generative models: risk identification and mitigation across the lifecycle, post-deployment vulnerability and incident monitoring, public transparency reports, responsible information sharing, security controls, content authentication such as watermarking, research on societal risks, priority to global challenges, technical standards, and data-input and personal-data safeguards. It sits alongside the Hiroshima Process guiding principles and, from 2025, an OECD-run voluntary reporting framework.","adopted_on":"2023-10-30","in_force_on":null,"applies_from":null,"official_source_url":"https://www.mofa.go.jp/files/100573473.pdf","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:24+00:00","url":"https://aipolicytracker.org/policies/g7-hiroshima-process-code-of-conduct-for-advanced-ai"},{"slug":"iso-iec-42001-2023-ai-management-system","id":"AIPT-POL-0102","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0102","title":"ISO/IEC 42001:2023 Information technology – Artificial intelligence – Management system","short_title":"ISO/IEC 42001:2023 AI management system","jurisdiction":"international","instrument_type":"standard","status":"voluntary_standard","is_binding":false,"ai_specific":true,"issuing_body":"ISO/IEC JTC 1/SC 42","summary_plain":"The first certifiable management-system standard for AI. It specifies requirements for establishing, implementing, maintaining and improving an AI management system within an organisation: context and leadership, AI policy, risk and impact assessment, objectives, resources and competence, operational controls across the AI lifecycle, performance evaluation and improvement, with Annex A controls on data, transparency, human oversight, third parties and responsible use. Certification is voluntary but increasingly requested in procurement; regulators reference it as evidence of governance.","adopted_on":"2023-12-18","in_force_on":null,"applies_from":null,"official_source_url":"https://www.iso.org/standard/42001","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:24+00:00","url":"https://aipolicytracker.org/policies/iso-iec-42001-2023-ai-management-system"},{"slug":"oecd-recommendation-on-artificial-intelligence","id":"AIPT-POL-0103","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0103","title":"OECD Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449), adopted 22 May 2019 and revised 3 May 2024","short_title":"OECD AI Principles (Recommendation on AI)","jurisdiction":"international","instrument_type":"framework","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"OECD Council","summary_plain":"The first intergovernmental standard on AI. It sets five values-based principles (inclusive growth and well-being; human rights and democratic values including fairness and privacy; transparency and explainability; robustness, security and safety; accountability) and five recommendations to governments (invest in research, foster an inclusive AI ecosystem, enable an agile policy environment, build human capacity and prepare for labour-market transition, cooperate internationally). The 2024 revision updated the definition of an AI system (adopted by the EU AI Act and other laws) and added references to general-purpose and generative AI, misinformation and environmental sustainability. Adherents include all OECD members and several non-members; the G20 AI Principles (2019) draw on it.","adopted_on":"2019-05-22","in_force_on":null,"applies_from":null,"official_source_url":"https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:24+00:00","url":"https://aipolicytracker.org/policies/oecd-recommendation-on-artificial-intelligence"},{"slug":"un-general-assembly-resolution-78-265-on-ai","id":"AIPT-POL-0104","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0104","title":"UN General Assembly resolution A/RES/78/265: Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development (21 March 2024)","short_title":"UN General Assembly resolution 78/265 on safe, secure and trustworthy AI","jurisdiction":"international","instrument_type":"policy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"United Nations General Assembly","summary_plain":"The first General Assembly resolution on AI, adopted by consensus with more than 120 co-sponsors, encourages states to promote safe, secure and trustworthy AI systems that respect human rights and advance the Sustainable Development Goals, to close digital divides, and to develop governance frameworks and interoperable safeguards; it calls on companies to act responsibly. It was followed by resolution A/RES/79/325 (August 2025) establishing an Independent International Scientific Panel on AI and a Global Dialogue on AI Governance under the Global Digital Compact.","adopted_on":"2024-03-21","in_force_on":null,"applies_from":null,"official_source_url":"https://docs.un.org/en/A/RES/78/265","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:24+00:00","url":"https://aipolicytracker.org/policies/un-general-assembly-resolution-78-265-on-ai"},{"slug":"bletchley-declaration-ai-safety-summit-2023","id":"AIPT-POL-0100","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0100","title":"The Bletchley Declaration by countries attending the AI Safety Summit, 1–2 November 2023","short_title":"Bletchley Declaration (AI Safety Summit 2023)","jurisdiction":"international","instrument_type":"policy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"28 countries and the European Union attending the AI Safety Summit hosted by the United Kingdom","summary_plain":"Signed by countries including the United States, China, the EU, India, Japan and Brazil, the declaration recognises the opportunities of AI and the risks of frontier models, commits signatories to cooperate on identifying AI safety risks and building risk-based policies, and launched the summit series continued in Seoul (2024) and Paris (2025) and the network of AI safety institutes.","adopted_on":"2023-11-01","in_force_on":null,"applies_from":null,"official_source_url":"https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:24+00:00","url":"https://aipolicytracker.org/policies/bletchley-declaration-ai-safety-summit-2023"},{"slug":"unesco-recommendation-on-the-ethics-of-ai","id":"AIPT-POL-0105","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0105","title":"UNESCO Recommendation on the Ethics of Artificial Intelligence (adopted by the General Conference, 23 November 2021)","short_title":"UNESCO Recommendation on the Ethics of AI","jurisdiction":"international","instrument_type":"framework","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"UNESCO General Conference (193 member states)","summary_plain":"The first global normative instrument on AI ethics. It sets values (human rights and dignity, environment and ecosystem flourishing, diversity and inclusiveness, peaceful and just societies) and principles (proportionality and do no harm, safety and security, fairness, sustainability, privacy, human oversight, transparency and explainability, responsibility, awareness and literacy, multi-stakeholder governance), and eleven policy action areas from ethical impact assessment and data policy to gender, education, health and the environment. UNESCO supports implementation with a Readiness Assessment Methodology (RAM) and an Ethical Impact Assessment tool used by dozens of countries.","adopted_on":"2021-11-23","in_force_on":null,"applies_from":null,"official_source_url":"https://unesdoc.unesco.org/ark:/48223/pf0000381137","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:24+00:00","url":"https://aipolicytracker.org/policies/unesco-recommendation-on-the-ethics-of-ai"}]}