Better reports on global AI governance

Explore the most influential and comprehensive reports on global AI governance, addressing transparency, accountability, and human oversight. These resources are crucial for understanding the regulatory frameworks, ethical norms, and technical standards shaping the future of artificial intelligence. We analyse best practices and strategies for responsible AI implementation worldwide. Discover how organisations are navigating the complexities of AI governance and contributing to safe and equitable development.

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  1. 1

    Governing Artificial Intelligence for Humanity - Final Report (United Nations Secretary-General's High-level Advisory Body on AI)

    0 Global Votes
    • Provides a blueprint for addressing AI risks

      (+4)

    This report is a foundational document for global AI governance, proposing concrete mechanisms for international cooperation and capacity building. It outlines a blueprint for addressing AI-related risks and sharing its transformative potential globally, aiming to bridge the global AI divide.

  2. 2

    OECD Recommendation on Artificial Intelligence (OECD AI Principles)

    0 Global Votes
    • Promotes innovative and trustworthy AI

      (+4)

    The OECD AI Principles are the first intergovernmental AI standard, establishing core principles for responsible and trustworthy AI. Its 2023 and 2024 revisions clarified definitions to include generative AI, influencing global regulatory efforts.

  3. 3

    UNESCO Recommendation on the Ethics of Artificial Intelligence (2021)

    0 Global Votes
    • Provides tools to assist Member States

      (+2)

    This is the world's first global standard-setting instrument for ethical AI, unanimously adopted by 193 member states. It provides a comprehensive, human-centered, and rights-based blueprint for national legislation worldwide.

  4. 4

    EU Artificial Intelligence Act

    0 Global Votes
    • First comprehensive regulation on AI

      (+4)

    Considered the world's first comprehensive regulatory framework for AI, the EU AI Act takes a risk-based approach. Its ongoing implementation and the 'AI Omnibus' package demonstrate active efforts to refine and operationalize AI governance.

  5. 5

    NIST AI Risk Management Framework (AI RMF) (United States)

    0 Global Votes
    • Provides a structured approach for addressing AI risks

      (+4)

    This voluntary set of guidelines helps organizations manage AI risks, promoting trustworthy, transparent, and explainable AI. It provides a flexible structure for AI risk assessment, widely adopted by U.S. government agencies and private enterprises.

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  7. 6

    ISO/IEC 42001:2023 Artificial Intelligence Management System

    0 Global Votes
    • Offers a framework for AI governance

      (+4)

    This international standard provides a formal, certifiable structure for governing AI through defined roles, policies, and continuous improvement. It translates high-level commitments into actionable practices for building and running an AI governance system.

  8. 7

    G7 Hiroshima AI Process International Code of Conduct for Organizations Developing Advanced AI Systems

    0 Global Votes
    • Promotes safe, secure, and trustworthy AI worldwide

      (+3)

    This G7-driven initiative enhances international cooperation in AI governance, fostering transparency and accountability. The OECD Reporting Framework, launched in February 2025, provides a standardized approach for monitoring its voluntary adoption by major AI developers.

  9. 8

    AGILE Index Report 2025 (Global AI Governance Observatory)

    0 Global Votes
    • Provides 24 key observations on AI governance

      (+4)

    This report provides an in-depth examination of how 40 countries worldwide are addressing AI governance challenges. It offers a crucial tool for benchmarking national AI capacity and informing policy design.

  10. 9

    The Annual AI Governance Report 2025 (ITU)

    0 Global Votes
    • Provides proactive, inclusive, and adaptive governance insights

      (+4)

    This white paper analyzes seven key themes emerging from recent AI developments, offering insights into the need for more structured international cooperation and the institutionalization of risk assessment practices.

  11. 10

    The 2026 AI Index Report (Stanford HAI)

    0 Global Votes
    • Offers comprehensive, data-driven view of AI

      (+4)

    As a yearly publication, this report provides the most up-to-date data and analysis on global AI policy and governance trends. It offers critical insights into the evolving landscape of national and regional approaches.

  12. 11

    Responsible AI in practice: 2025 global insights from the AI Company Data Initiative (UNESCO & Thomson Reuters Foundation)

    0 Global Votes
    • Provides global insights on AI governance

      (+4)

    This pioneering report provides crucial, recent data from the world's largest dataset on corporate AI adoption. It identifies gaps between policy and practice, advocating for greater transparency and accountability from companies.