ARTICLE
Mapping the Global Landscape of AI Policy and Governance: A List of Key Sources and Notable Contributors
By Sabra Fiala
October 23, 2025
The global landscape of AI governance is complex, involving a range of international organizations, research institutions, and policy groups. Among these, several stand out for shaping the foundational principles that guide national and international frameworks.
Around the world, governments, academics, and industry leaders are working to develop policies that promote responsible innovation while ensuring systems remain transparent, reliable, and aligned with human values.
Below is a summary of the leading organizations influencing global AI policy, along with a few notable contributors. The field continues to evolve rapidly, with new developments emerging almost daily as countries refine their approaches to oversight, ethics, and implementation.
Key Sources of Global AI Policy
Leadership Built for Speed, Intelligence, and Synergy
- First adopted in 2019 and updated in 2024, the OECD AI Principles represent the world’s first intergovernmental standard for artificial intelligence.
- OECD has become a cornerstone for global AI policymaking, guiding nations toward innovative, trustworthy AI that upholds human rights and democratic values.
- These principles have influenced the AI strategies of leading nations, including the U.S., European Union members, and Japan.
The Global Partnership on Artificial Intelligence (GPAI)
- Hosted by the OECD, GPAI is a collaborative initiative uniting 44 member countries to close the gap between AI theory and practice.
- GPAI connects experts from government, industry, academia, and civil society.
- GPAI works to translate human-centric AI principles into real-world policy and innovation, reinforcing the OECD’s foundational recommendations.
The United Nations Educational, Scientific, and Cultural Organization (UNESCO)
- In 2021, all 193 UNESCO member states adopted the first-ever global agreement on the ethics of AI. This landmark recommendation established a universal framework for ethical AI development and use, emphasizing human dignity, environmental sustainability, transparency, and accountability.
- UNESCO also provides actionable guidance for policymakers in areas such as data governance, education, and culture.
Notable Contributors to Global AI Policy
Center for AI and Digital Policy (CAIDP)
- The CAIDP plays a pivotal role in advancing transparent and accountable AI governance.
- Its flagship publication, the AI Policy Sourcebook, consolidates major national and international AI frameworks, serving as an essential reference for policymakers, researchers, and industry leaders working to align innovation with ethical standards.
National and Regional Frameworks
- The European Union’s AI Act is the first comprehensive legal framework for AI. It establishes a risk-based model for oversight and enforcement.
- China’s AI Governance System emphasizes state control and social stability, contrasts sharply with Western approaches, but exerts global influence nonetheless.
- S. National Institute of Standards and Technology (NIST) AI Risk Management Framework offers a voluntary, adaptable model that is shaping both corporate governance and international policy dialogue.
Academic and Technical Communities
- Stanford Institute for Human-Centered Artificial Intelligence (HAI): Stanford HAI is an interdisciplinary institute dedicated to studying, guiding, and developing AI technologies and applications that augment human capabilities. Its policy work provides evidence-based research and training to policymakers and convenes global discussions on AI governance.
- Berkman Klein Center for Internet & Society at Harvard University: The Berkman Klein Center explores cyberspace and its development, with specific initiatives focusing on the ethics and governance of AI. Researchers investigate the impact of AI on issues like democratic norms, state power, and human rights.
- Montreal AI Ethics Institute (MAIEI): Contributes critical analysis and thought leadership that shape how policymakers and the public understand AI’s ethical dimensions.
- Leverhulme Centre for the Future of Intelligence (CFI) at the University of Cambridge: This center is focused on the long-term impact of AI, bringing together researchers to ensure that humanity makes the best of the opportunities presented by the technology.
- Responsible AI Institute (RAI Institute): This non-profit organization provides conformity assessments and certifications for AI systems.
- The Alan Turing Institute: The UK’s national institute for data science and AI researches the ethical, societal, and policy implications of AI for public benefit.
- The Institute for Ethical AI & Machine Learning: This research center develops technical frameworks to support responsible machine learning development and operation.
- Partnership on AI (PAI): This multi-stakeholder organization addresses AI challenges and opportunities through research and discussion.
- Algorithmic Justice League (AJL): AJL raises awareness about the social implications and harms of AI, advocating for equitable AI systems.
- Data & Society Research Institute: This institute focuses on the social implications of data-centric technologies and automation.
Together, these institutions and frameworks form the backbone of global AI governance. For now, it’s a living ecosystem that attempts to balance innovation with accountability. For leaders, marketers, and technologists alike, staying informed about these evolving policies must be a strategic priority.