HOME/All Jurisdictions/INT

International / Regional Body

International and Cross-Border Bodies

30TOTAL
30OFFICIAL SOURCES
26TOPIC AREAS
Policy / Guidance1
International Agreement1
Working Paper6
Report22
20 FEB 2026 · Policy / Guidance

OECD Due Diligence Guidance for Responsible AI

The OECD published its 2026 Due Diligence Guidance for Responsible AI, providing a practical Responsible AI (RBC) due diligence framework for organizations developing, deploying, or using AI systems. The guidance aligns with OECD AI Principles and provides operational guidance.

Official materialOECD ·Due Diligence ·Responsible AI ·+1Official source · oecd.org ↗
19 JUN 2025 · Report

The Advancement of Artificial Intelligence (AI) in Commercial Dispute Resolution

Examines AI in commercial dispute resolution, including implementation barriers and unequal access. It connects potential efficiency gains to legal reliability, human judgment and institutional capacity, warning that uneven digital foundations can reproduce differences in access to effective justice.

Official materialJudicial & Law Enforcement ·Accountability ·Human RightsOfficial source · documents1.worldbank.org ↗
20 APR 2025 · Working Paper

ITU - AI Standards for Global Impact Report

The ITU report "AI Standards for Global Impact: From Governance to Action" captures insights from the AI for Good Global Summit 2025, outlining how AI standards can advance global development and governance.

Official materialITU ·Standard ·AI for Good ·+1Official source · itu.int ↗
01 NOV 2023 · International Agreement

Bletchley Declaration on AI Safety

Non-binding international declaration establishing shared principles for safe, human-centric, trustworthy and responsible frontier AI development and international cooperation.

Primary legal sourceNational StrategyOfficial source · gov.uk ↗
03 JUL 2020 · Report

Responsible AI for Disaster Risk Management: Working Group Summary

Organizes responsible-AI concerns in disaster-risk management, including bias, privacy, security and explainability. The working-group discussion links model deployment choices to affected communities and institutional responsibilities rather than treating predictive accuracy as sufficient assurance.

Official materialEthics ·Accountability ·Bias & DiscriminationOfficial source · documents1.worldbank.org ↗
Report

Developing Artificial Intelligence Sustainably: Toward a Practical Code of Conduct for Disruptive Technologies

Proposes an operational code of conduct for organizations deploying disruptive technologies. It connects AI ethics to risk assessment, management responsibility and implementation practices, addressing the gap between voluntary principles and accountable organizational decisions.

Official materialEthics ·AccountabilityOfficial source · documents1.worldbank.org ↗
Report

Artificial Intelligence in the Public Sector: Maximizing Opportunities, Managing Risks

Examines public-sector AI adoption alongside risks to fairness, privacy and public accountability. It sets out institutional and implementation considerations for governments, linking technical capability to the safeguards needed when automated systems affect public services.

Official materialAccountability ·Bias & Discrimination ·Data Privacy & ProtectionOfficial source · documents1.worldbank.org ↗
Report

Harnessing Artificial Intelligence for Development in the Post-COVID-19 Era: A Review of National AI Strategies and Policies

Compares national AI strategies and policy instruments through a development lens. It examines government coordination, data and skills foundations, ethical concerns and unequal capacity, helping distinguish a published strategy from the institutions needed to implement it.

Official materialNational Strategy ·International Cooperation ·EthicsOfficial source · documents1.worldbank.org ↗
Report

Global Trends in AI Governance: Evolving Country Approaches

Compares country approaches to AI governance, including voluntary commitments, standards, sandboxes and legislation. It examines how governments combine these instruments and engage private actors, exposing the implementation and capacity gaps between formal safeguards and effective oversight.

Official materialNational Strategy ·Standards ·AccountabilityOfficial source · documents1.worldbank.org ↗
Report

AI for Risk-Based Supervision: Another "Nice to Have" Tool or a Game-Changer?

Examines how financial supervisors can introduce AI into risk-based supervision. It links potential analytical benefits to data quality, institutional readiness and responsible implementation, showing why purchasing tools alone does not establish effective supervisory capability.

Official materialFinancial Services ·Accountability ·Data Privacy & ProtectionOfficial source · documents1.worldbank.org ↗
Report

Scaling Up Social Assistance Where Data Is Scarce: Opportunities and Limits of Novel Data and AI

Reviews the use of novel data and AI to target social assistance in data-scarce settings. It connects targeting errors, privacy and exclusion risks to program design, emphasizing the limits of replacing administrative and community knowledge with automated inference.

Official materialHuman Rights ·Bias & Discrimination ·Data Privacy & ProtectionOfficial source · documents1.worldbank.org ↗
Report

Artificial Intelligence Innovation in Financial Services

Examines AI deployment in emerging-market financial services and the safeguards required for responsible adoption. Its governance discussion covers data ownership, privacy, security and bias, and calls for coordination between providers, governments and supervisors.

Official materialFinancial Services ·Consumer Protection ·Data Privacy & ProtectionOfficial source · documents1.worldbank.org ↗
Report

Generative Artificial Intelligence

Introduces generative AI applications and development risks, with discussion of copyright, misinformation and policy responses. Its Korean policy examples connect emerging technical capabilities to unresolved rules for training data, generated content and institutional responsibility.

Official materialGenerative AI ·Intellectual Property ·EthicsOfficial source · documents1.worldbank.org ↗
Report

Disruptive Technologies in the Credit Information Sharing Industry: Developments and Implications

Examines alternative data and machine learning in credit reporting alongside other disruptive technologies. Its policy analysis addresses opaque scoring, privacy, consumer protection and regulatory responses, connecting financial inclusion claims to the risks faced by people evaluated by automated systems.

Official materialFinancial Services ·Consumer Protection ·Data Privacy & ProtectionOfficial source · documents1.worldbank.org ↗
Report

Building Trustworthy Artificial Intelligence: Frameworks, Applications, and Self-Assessment for Readiness

Presents frameworks and self-assessment tools for trustworthy AI readiness. It links organizational preparation to privacy, fairness, explainability and accountability, offering practical checks for institutions that need to turn broad responsible-AI commitments into deployment decisions.

Official materialEthics ·Accountability ·TransparencyOfficial source · documents1.worldbank.org ↗
Working Paper

Competition in AI Markets

Maps competition risks across chips, compute, foundation models and data. It proposes a diagnostic framework and examines procurement, interoperability, portability and cross-border cooperation as policy responses when concentrated AI inputs are controlled outside a country's jurisdiction.

Official materialCompetition ·Procurement ·International CooperationOfficial source · thedocs.worldbank.org ↗
Working Paper

How Is Government Using Artificial Intelligence?

Uses evidence from 60 economies to compare public-sector AI adoption with institutional readiness. It identifies governments whose use outpaces safeguards and argues for data capacity, responsible-use rules and organizational learning, while noting that reported governance capability does not establish effectiveness.

Official materialAccountability ·National Strategy ·TransparencyOfficial source · thedocs.worldbank.org ↗
Working Paper

The Global Landscape of National AI Strategies

Maps national AI strategies and compares coordination, investment, regulatory orientation and international cooperation across income groups. It examines the tension between technology ambitions and implementation capacity, using strategies issued through June 2025 rather than claiming a current exhaustive legal inventory.

Official materialNational Strategy ·International Cooperation ·AccountabilityOfficial source · thedocs.worldbank.org ↗
Report

Devising a Strategic Approach to Artificial Intelligence: A Handbook for Policy Makers

Provides a structured approach to developing and implementing national AI strategy. It connects readiness assessment, stakeholder participation, governance and monitoring, helping policymakers address the gap between strategic aspirations and the resources and institutional responsibilities needed to deliver them.

Official materialNational Strategy ·Accountability ·International CooperationOfficial source · documents1.worldbank.org ↗
Report

Artificial Intelligence for Financial Sector Supervision: An Emerging Market and Developing Economies Perspective

Examines AI use by financial-sector supervisors with a focus on emerging and developing economies. It connects adoption to data governance, operational risk, transparency and third-party dependencies, and distinguishes the needs of supervisors with different institutional and technical capabilities.

Official materialFinancial Services ·Accountability ·TransparencyOfficial source · documents1.worldbank.org ↗
Working Paper

The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions

Reviews AI policy actions alongside economic research. It connects competition, data, labour-market and distributional concerns to regulatory choices, identifying where evidence is incomplete and why governance design must consider both market incentives and institutional capacity.

Official materialCompetition ·Labor & Employment ·AccountabilityOfficial source · imf.org ↗
Report

Artificial Intelligence and Cybersecurity in the Financial Sector

Examines how AI changes cyber threats and defenses in financial services. It connects firm-level safeguards to supervisory coordination and systemic resilience, highlighting governance needs when evolving AI capabilities affect both the scale of attacks and dependence on defensive tools.

Official materialFinancial Services ·Cybersecurity ·AccountabilityOfficial source · imf.org ↗
Report

Regulatory Considerations Regarding Accelerated Use of AI in Securities Markets

Examines securities-market AI uses and their implications for supervision and investor protection. It connects governance, model risks, market behavior and operational dependencies to regulatory priorities, distinguishing potential efficiencies from the controls needed to maintain market integrity.

Official materialFinancial Services ·Consumer Protection ·AccountabilityOfficial source · imf.org ↗
Working Paper

AI Projects in Financial Supervisory Authorities: A Toolkit for Successful Implementation

Provides an implementation toolkit for AI projects inside financial supervisory authorities. It links project selection, institutional ownership, data and skills to responsible deployment and evaluation, addressing the organizational reasons that promising supervisory tools may fail to become reliable practice.

Official materialFinancial Services ·Accountability ·Data Privacy & ProtectionOfficial source · imf.org ↗
Report

Generative Artificial Intelligence for Compliance Risk Analysis: Applications in Tax and Customs Administration

Examines generative-AI applications in tax and customs compliance analysis. It connects implementation choices to secure data handling, human review and public accountability, illustrating how deployment architecture affects confidentiality and reliability when administrations use AI for consequential compliance work.

Official materialGenerative AI ·Data Privacy & Protection ·AccountabilityOfficial source · imf.org ↗
Report

Global Economic and Financial Implications of Artificial Intelligence: Lessons from a Scenario-Planning Exercise

Uses alternative AI-diffusion scenarios to examine institutional preparedness and financial-system risks. It discusses competition, safety oversight, audits, disclosure and international coordination, emphasizing policy robustness under uncertainty rather than presenting scenarios as forecasts.

Official materialFinancial Services ·International Cooperation ·AccountabilityOfficial source · imf.org ↗
Report

Generative Artificial Intelligence in Finance: Risk Considerations

Examines generative-AI risks in finance, including unreliable outputs, privacy, cybersecurity and model governance. It connects adoption by financial institutions to oversight and human responsibility, identifying why existing risk-management practices need adaptation for generative systems.

Official materialFinancial Services ·Generative AI ·AccountabilityOfficial source · imf.org ↗
Report

Broadening the Gains from Generative AI: The Role of Fiscal Policies

Examines fiscal policy choices that influence who benefits from generative AI. It connects taxation, social protection and public investment to incentives for technology adoption and distribution of gains, showing how policy can shape deployment rather than merely compensate after disruption.

Official materialGenerative AI ·Labor & Employment ·CompetitionOfficial source · imf.org ↗
Report

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Examines AI adoption in finance through its benefits and institutional risks. It links explainability, bias, cybersecurity and concentration concerns to governance and regulatory oversight, providing a framework for judging whether financial-sector innovation remains accountable and resilient.

Official materialFinancial Services ·Bias & Discrimination ·AccountabilityOfficial source · imf.org ↗
Report

Understanding Artificial Intelligence in Tax and Customs Administration

Explains AI use in revenue administration with explicit attention to legal and ethical duties. It offers a structured approach to evaluating use cases, managing risks and establishing responsible-use policies before systems are introduced into tax and customs operations.

Official materialAccountability ·Data Privacy & Protection ·EthicsOfficial source · imf.org ↗