GRF · AI and Digital Governance

Situational awarenessEvents, outlooks and readiness for those who decide

International AI cooperation

AI is developed and deployed across borders, so its governance involves treaties, shared principles, safety institutes, standards bodies and trade rules. Countries cooperate on some questions and compete on others. This page sets out how international AI cooperation works and where it fragments, the records that show it, and the institutions that hold the decisions.

02The question

International AI cooperation: how the risk develops.

Comparative policy and interoperability. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Principles converge, rules diverge

Many countries endorse similar high-level principles but write different binding rules. Firms face divergent obligations, and gaps between regimes allow risky practices to move.

Mechanism

Evaluation needs shared methods

Safety institutes and testing bodies cooperate on evaluation methods. Without shared test suites and access to models, results are not comparable across countries.

Mechanism

Forums overlap

The UN, OECD, G7, G20, Council of Europe, standards bodies and bilateral arrangements all address AI. Overlap spreads expertise thin and lets states choose favourable forums.

Mechanism

Participation is uneven

Countries with less AI capacity have less say in standards and forums. Capacity building and inclusive participation shape whether global rules fit their needs.

03Geography

Connected activity in East Asia.

Night lights, population density and flood water over East Asia, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Connected activity, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Connected activity, framed on East Asia. Layers as NASA publishes them, each with its own date.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA/NOAA VIIRS · NASA EONET · U.S. Geological SurveySources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Observed (EO): NASA/NOAA VIIRS (Suomi NPP). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Live: U.S. Geological Survey Events are indicative, not authority warnings.
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
  • Optional layers (5 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

04Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Adherents to the OECD AI Principlescount of countrieson changeOECD recordsPublished statistics
Signatories and parties to the Council of Europe AI Conventioncounton changeCouncil of Europe treaty officePublished statistics
Countries with a national AI strategycountannualOECD.AIPublished statistics
UNESCO Readiness Assessment Methodology completedcount of countriesannualUNESCO recordsPublished statistics
Participation in international AI standards committeescount of national bodiesannualISO/IEC recordsPublished statistics
Joint evaluation or testing agreements between safety institutescounton changeGovernment publicationsREPORTED
05Console

Public algorithm register, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Public algorithm register

International AI cooperation · Algorithm register · Quarter 4

Two high-risk systems without assessmentGRF · AI and Digital Governance

Registered systems

Benefit fraud flaggingSocial agencyHighMissingPartial
Permit triagePlanningLimitedDoneYes
School placementEducationHighDoneYes
Chat assistantTax officeMinimalDonen/a

Oversight action

System
Benefit fraud flagging
Required
impact assessment, appeal route
Deadline
65 days
Authority
Oversight body

Complaints about automated decisions

Public algorithm register: the screen's structure, terms and states for International AI cooperation.Placeholder names and illustrative values; a design, not a record or a live system.
06Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · International AI cooperation as a run graphDesign, not a record
International AI cooperation: AI risk management, govern to manageGovernance sets roles and policies; the context and intended use are mapped; capability, safety, robustness and fairness are measured; risks are managed with mitigations and a deployment gate; incidents feed monitoring and the registry. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

07Twin and cascade simulator

Exercise a cascade in International AI cooperation with the people who decide.

Assembled from the Nexus Standards area profile AI and autonomous systems risk standards: the hazards it names, the systems and communities that carry the loss, the controls and institutions that dampen it and the data that observe it. Pick an initiating event and step through the cascade to see where mandates meet and which decisions fall to whom. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise for dialogue, not a forecast, an assessment or a position.

Hazards

  • Dam failure
  • Sea-ice loss
  • Coastal erosion (set off downstream)
  • River flood (set off downstream)
  • Flash flood (set off downstream)
  • Mass displacement (set off downstream)
  • Biodiversity loss (set off downstream)
  • Widespread power outage (set off downstream)
  • Water supply shortfall (set off downstream)
  • Arctic winter sea-ice collapse (set off downstream)
  • Polar vortex disruption (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-12 Software, model and AI/ML artifacts (supply chain, model cards, dataset sheets)
  • NRS-H100 Hazard family: Robotics, autonomy and autonomous weapons (NHS-1 tech.autonomy-weapons)
  • NRS-H53 Hazard family: Cyber-physical disruption (NHS-1 cyber.cyber-physical)
  • NRS-H61 Hazard family: Cascading failure (NHS-1 sys.cascade)
  • NRS-H113 Hazard family: Financial-system fragility (NHS-1 soc.financial-system)
  • NRS-A8 AI-ready risk data and model packaging
  • NRS-H54 Hazard family: Signal and platform disruption (NHS-1 cyber.platform)

Observation

  • OSV open source vulnerability database (listed for reference)
  • Our World in Data datasets (listed for reference)
  • Research and development expenditure as a proportion of GDP

Example geography

  • North America: 243 H3 hexagons at resolution 2
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
OECD.AI Policy ObservatoryNational strategies and international initiativesFree, OECD terms
Council of Europe Treaty OfficeSignature and ratification status of the AI ConventionPublic, Council of Europe terms
UNESCO Global AI Ethics and Governance ObservatoryReadiness assessments and policy recordsFree, UNESCO terms
UN Global Digital Compact recordsCommitments and follow-up on AI governancePublic, UN terms
International AI Safety ReportIndependent scientific assessment of general-purpose AI risksFree to read, terms to check
09Instruments and commitments

How International AI cooperation is governed: instruments, mandates and commitments.

The instruments, mandates, actors and accountability arrangements a policymaker, diplomat or development agency works with, citing the agreements that set them. Structures follow the frameworks named. Any state or progress drawn is illustrative, not a record.

Policy instrument matrix

The kinds of instrument available on International AI cooperation, by level of government and cooperation.

Instrument typeLocalNationalRegionalGlobal
RegulatoryZoning, building codesLaws, standards, licensingHarmonised rulesConventions and treaties
EconomicLocal levies, grantsBudget lines, taxes, insurance schemesRisk pools, regional fundsFinancing mechanisms
InformationLocal warningsDisclosure, early warning, statisticsData sharing arrangementsGlobal monitoring and reporting
InstitutionalLocal committeesLead agencies, coordination councilsRegional bodies and secretariatsMultilateral mandates
CooperativeCommunity agreementsPartnership compactsMemoranda and joint programmesAgreements and joint commitments
A typology after the OECD Recommendation on the Governance of Critical Risks; examples of instrument types, not an inventory of any country's measures.
Sendai Framework for Disaster Risk Reduction · UNDRRParis Agreement · UNFCCC2030 Agenda and the Sustainable Development Goals · United NationsInternational Health Regulations · WHO
10Decisions

Who decides, and what the evidence serves.

AI and Digital Governance prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Foreign and digital ministriesWhich treaties, forums and agreements to joinForum mandates, obligations and comparative participation
Safety and testing institutesWhich evaluation methods to share and with whomMethod comparisons and cooperation records
National standards bodiesWhich international committees to take part inCommittee work programmes and participation records
Intergovernmental organization governing bodiesWhat mandates and work programmes to adoptRecords of related initiatives

Outputs this topic produces

  • Map of international AI governance forums and their mandates
  • Comparative notes on national AI rules and their interaction
  • Dialogue briefs on inclusive participation in AI standards
  • Questions for foreign and digital ministries on AI cooperation
11Core questions

What experts ask about international AI cooperation.

  • Where do national approaches align, and where do they conflict in ways that matter?
  • Can a system assessed in one jurisdiction be trusted in another without repeating the assessment?
  • How can countries with less capacity take part in shaping rules that will affect them?
  • Which risks require cooperation because no country can manage them alone?
12Mechanisms

What drives convergence and divergence.

Countries share concerns about safety, rights and economic opportunity, which has produced common principles adopted in several international forums. But they differ in legal traditions, economic interests, views on the role of the state and security priorities. These differences produce divergent rules on data, AI risk classification, liability and market access.

Divergence raises costs for developers and deployers, complicates research and can leave gaps where harmful practices move to less regulated places. Interoperability, meaning arrangements that let different national regimes recognize each other's assessments or work together, is often more achievable than full harmonization.

Why now: in 2025 the UN General Assembly established an Independent International Scientific Panel on AI and a Global Dialogue on AI Governance, adding to the Council of Europe Framework Convention (2024) and regional rules. The platform is designed to help institutions compare these arrangements and record where they overlap or leave gaps.

13Methods and limits

Instruments of cooperation.

  1. 01

    Comparative policy analysis

    Systematic comparison of national approaches, using policy, institutional and decision science. Limits: rapid change dates comparisons quickly.

  2. 02

    Shared principles and frameworks

    Non-binding commitments adopted by groups of states. Limits: implementation varies.

  3. 03

    Mutual recognition and interoperability

    Arrangements to accept each other's assessments. Limits: require trust in each other's institutions.

  4. 04

    Capacity cooperation

    Sharing expertise and tools with countries building governance capacity. Limits: risk of exporting models that do not fit local contexts.

14Methods

How it is studied, and what the methods cannot say.

  1. Policy, institutional and decision scienceComparing AI regimes · Value chain accountability mapping · Forum and mandate mappingApplied here
  2. AI evaluation and assurance engineeringThird-party audit scope · Fairness testing in public systems · Post-deployment monitoringApplied here
  3. Artificial intelligence and machine learningHow models fail in deployment · Reading model documentation · Agent architectures explainedApplied here
15Questions

Questions and answers.

Is there a binding international AI treaty?
The Council of Europe Framework Convention on AI and Human Rights, Democracy and the Rule of Law is a binding treaty open to member and non-member states. Its effect depends on ratification.
What do AI safety institutes do?
Government bodies in several countries that evaluate advanced AI models, develop testing methods and share findings with each other and with developers.
What did the Global Digital Compact agree on AI?
UN member states committed to an independent international scientific panel on AI and a global dialogue on AI governance, among other digital commitments.
Is a single global AI law likely?
Most experts consider full harmonization unlikely in the near term. Interoperability between national regimes is a more common aim.
Does the platform represent any government in negotiations?
No. It convenes dialogue and publishes comparative analysis.
Why does capacity matter in international cooperation?
Because countries without the expertise to assess AI systems may have to accept rules and products shaped elsewhere.
What is interoperability between AI regimes?
Arrangements that let different national rules work together, for example by recognizing each other's assessments or sharing common definitions.
NRNexus Reports gateway · GW-GRF

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