What Resources Help You Navigate Evolving AI Governance and Policy?
AI GOVERNANCE & POLICY
Explore our AI Governance & Policy resource library for practical frameworks, policy templates, legislative updates, and oversight models dedicated to responsible AI use. Access curated guidance on transparency, accountability, compliance, and risk management to help your organization meet regulatory and consumer expectations.
National Institute of Standards and Technology (NIST)
AI Risk Management Framework
The Artificial Intelligence Risk Management Framework 1.0 (AI RMF 1.0 ) by the National Institute of Standards and Technology (NIST) is a comprehensive, voluntary framework designed to help organizations identify and manage the unique risks associated with AI systems.
Elham Tabassi
AI and Digital Economy Policy
Bruegel (Brussels)
Bruegel is a leading European think tank specializing in economic policy analysis, including the impact of digital transformation and AI on Europe’s economy and society. It works at the intersection of research and policy, offering data-driven insights on AI regulation, economic competitiveness, innovation strategies, and ethical implications
Guntram Wolff
CSET at Georgetown University investigates the mechanisms behind AI-related harms, drawing lessons from incidents to develop frameworks for risk assessment, mitigation, and governance. Their work informs policymakers and industry stakeholders on avoiding unintended consequences and enhancing AI safety and reliability at scale.
AI Policy Research
Center for Security and Emerging Technology
Dewey Murdick
Future of Life Institute (FLI)
Global AI Ethics & Safety
The Future of Life Institute is a nonprofit organization dedicated to ensuring that transformative technologies, especially artificial intelligence, are developed safely and beneficially. They focus on mitigating extreme risks from AI such as societal disruption and existential threats,
Max Tegmark
The Alan Turing Institute (UK)
AI Standards & Ethics Research
The UK's national institute for data science and artificial intelligence, The Alan Turing Institute conducts interdisciplinary research to advance AI innovation and its societal impact. It engages in fundamental AI research, ethical and policy studies, and collaborates widely with academia, government and industry to ensure Al benefits society inclusively and responsible
Dataversity Training Center
Dataversity
Dataversity’s training delivers expert-led courses and resources to build data management and AI skills, covering data modeling for AI, governance, architecture, quality, and ethics. It provides live online bootcamps, on-demand videos, hands-on labs, and certification prep ideal for professionals, teams, and executives.
Tony Shaw
AI Safety & Alignment Research
Center for AI Safety (CAIS)
Safe AI’s Impact Report provides an in-depth examination of AI safety advancements and ongoing challenges in real-world deployments. The report focuses on evaluating AI risks, safety assurance methodologies, and policy frameworks designed to ensure AI systems operate reliably and ethically.
Dan Hendrycks
AI & Digital Regulation
Centre for European Policy Studies (CEPS)
The Center for Earupean Policy Studies (CEPS) is a Brussels-based think tank providing research and recommendations on European policy issues, including AI’s economic, ethical, and regulatory aspects. CEPS aims to foster dialogue between European institutions, governments, and stakeholders to craft balanced AI policies that stimulate innovation and protect fundamental rights.
Andrea Renda
Information Technology Innovation Foundation
AI Policy Research & Innovation Reports
ITIF is a Washington, D.C.-based think tank focused on promoting innovation and technology-driven policies to support economic growth and competitiveness. It provides data-driven research and policy analysis on AI’s role in industry transformation, national security, trade, and tech governance
Robert D. Atkinson
Centre for Data Ethics and Innovation (UK)
Responsible AI Development
A UK advisory body focused on ensuring ethical and innovative use of data and AI technologies. It provides independent guidance to government and industry on the challenges of AI ethics, governance, and regulation, encouraging transparency, fairness, and public trust in AI-driven systems.
Center for Technology Innovation
Brookings Institution
Brookings’ Center for Technology Innovation conducts rigorous research and policy analysis on the societal and economic implications of emerging technologies including AI.
Nicol Turner Lee
Center for Democracy & Technology (CDT)
AI & Digital Rights Policy
The Center for Democracy & Technology (CDT) explores the intersection of AI and civil rights, with a focus on emerging risks related to AI integration in schools. Their research covers privacy concerns, algorithmic biases, and safety issues heightened by widespread AI adoption in educational environments
Prof. Dr. Josef Drexl LL.M.
Alexandra Reeve Givens
European AI Policy Observatory – European Commission Initiative
EU AI Act Monitoring
The European AI Office is a dedicated body within the European Commission responsible for implementing and enforcing the EU's Artificial Intelligence Act, focusing especially on general-purpose AI systems.It coordinates governance across Member States, develops evaluation tools and codes of practice, monitors AI market developments, and ensures compliance through investigations and sanctions when necessary
Lucilla Sioli
Max Planck Institute for Innovation and Competition (Germany)
AI Law and IP Policy
This German research institute explores the intersection of intellectual property, innovation, and competition law and policy. It studies how emerging technologies like AI impact innovation ecosystems, patent systems, and market dynamics, providing scholarly
The Center for Humane Technology
Responsible Tech Design Framework
This organization advocates for technology designs that prioritize human well-being over profit, urging companies and policymakers to address the ethical and societal impacts of AI and digital platforms. It promotes awareness, education, and systemic change to create digital ecosystems aligned with human values.
Adrian Weller
Edwina Dunn
Tristan Harris, Daniel Barcay
The Royal Society (UK)
AI, Society, and Social Good Programme
The Royal Society’s project investigates the opportunities and risks of AI integration in education, focused on ensuring AI supports learning, equity, and safety for all students. It produces research and policy recommendations for educators and governments on responsible AI adoption in schooling.
AI for Public Good Program
Digital Future Society (Spain)
An international think tank committed to shaping digital transformation through ethical AI governance, human rights, and sustainable development. It facilitates multi-stakeholder dialogue and policy innovation to manage AI’s societal impacts globally.
Council on Foreign Relations (CFR)
AI Task Force
CFR explores AI’s impact on national security, economic growth, and foreign policy through expert analysis, events, and policy discussions. It addresses U.S. AI strategies, AI’s role in global power dynamics, ethical challenges, and the intersection of AI with governance and international relations.
Sir Adrian Smith
Cristina Colom, Andrea Renda
Edward Alden
Wilson Center – Science & Technology Innovation Program
Artificial Intelligence / STIP
The Wilson Center's AI program delivers insights on technological innovation and policy implications, focusing on AI’s role in global security, economics, and governance. It convenes experts and produces research to inform policymaking and public understanding of AI’s challenges and opportunities.
Centre for International Governance Innovation
AI & Governance Research
CIGI provides rigorous analysis on AI governance, ethics, and international policy to promote responsible AI development globally. Its research aims to influence policymaking, facilitate multi-stakeholder dialogue, and address issues like AI transparency, accountability, and global cooperation.
Institute for the Future (IFTF)
AI Foresight & Futures Research
IFTF explores future scenarios and strategic foresight involving AI’s societal, economic, and ethical dimensions. Their AI Forces program investigates emerging AI trends and their implications to help organizations and policymakers anticipate challenges and opportunities in AI development and use.
Meg King
Paul Samson
Marina Gorbis
World Economic Forum – Centre for the Fourth Industrial Revolution
Global C4IR Network
The World Economic Forum examines AI as a core component of the Fourth Industrial Revolution, emphasizing its transformative potential across industries and society. It promotes multi-stakeholder collaboration to shape global AI governance frameworks, ethical AI adoption, and economic growth.
Research Lab on Big Data & AI at Goethe University Frankfurt
Frankfurt Big Data Lab (Germany)
This academic-industry group focuses on big data and AI research applications, including data mining, machine learning, and analytics for industrial and societal challenges. It offers collaboration opportunities to advance data-driven AI innovation.
AI4People (Italy/EU)
Ethical Framework Initiative for a Good AI Society
AI4People is a multidisciplinary initiative advancing ethical AI principles, governance frameworks, and policy orientation to ensure AI technologies align with human values and societal well-being. It engages experts across sectors to promote responsible AI innovation worldwide.
Larry Fink,
Karsten Tolle
French Digital Council (France)
Michelangelo Baracchi Bonvicini
Advisory Body for AI & Digital Policy
An advisory body to the French government, it provides expertise and recommendations on digital technology—including AI—focusing on ethical considerations, regulatory frameworks, innovation policies, and protecting citizens' rights in the digital age.
Co-Governance Model for AI Regulation
Harvard Law Review
This approach favors a decentralized co-governance framework that distributes regulatory power broadly among stakeholders rather than imposing strict top-down rules. It argues for flexible, context-specific regulation to avoid stifling innovation and to enable adaptive, local governance of AI.
IBM
AI Governace Framework
This organization advocates for technology designs that IBM promotes adaptable AI governance solutions scaled according to organizational size and operational complexity, often favoring informal processes and ethical review boards over rigid frameworks for smaller setups.
Anne Bouverot