Must-read foundational frameworks and standards to build your understanding of AI governance. Perfect entry points for newcomers to the field.
Structured introduction to AI governance principles and frameworks
Practical frameworks you can immediately apply to your organisation
From UNESCO, NIST, OECD, and other globally recognised institutions
Different formats for different needs
Sorted by year and impact
Comprehensive analysis of 200 AI use cases across OECD governments, examining opportunities, risks, and practical guidance for responsible AI adoption in public sector functions.
Comparative analysis of AI regulatory approaches across major jurisdictions including US, EU, UK, China, and international organisations.
Sets forth clear policy goals for federal government AI execution across innovation, infrastructure, and international cooperation pillars.
Practical guidance for small and medium businesses on implementing proportionate AI governance without enterprise-scale resources.
Comprehensive primer on the EU AI Act's risk-based regulatory approach, serving as guide for US legislators and policymakers considering AI regulation.
Practical toolkit providing implementation guidance, assessment tools, and best practices for responsible AI innovation across sectors.
Comprehensive annual report tracking global AI trends, progress, and challenges across technical performance, policy, economics, and societal impact.
Voluntary framework for managing risks to individuals, organisations, and society associated with AI, developed through consensus-driven collaboration with public and private sectors.
First international standard for AI management systems, providing requirements and guidance for responsible development and use of AI.
Comprehensive systematic review synthesizing research on algorithmic bias with integrated framework and agenda for future research directions.
The first-ever global standard on AI ethics, adopted by 194 UNESCO member states, establishing comprehensive principles and policy action areas for responsible AI development.
Critical evaluation of over 80 AI ethics guidelines from around the world, examining their effectiveness, convergence, and implementation challenges.
Comprehensive framework from IEEE establishing principles and recommendations for human-centric design of autonomous and intelligent systems.
Other curated collections that may interest you
Cutting-edge research and policy developments from 2025, including the latest regulatory frameworks, implementation guides, and research findings.
ExploreThe most influential research in AI governance with 500+ citations each. These foundational papers have shaped the field and continue to guide policy and practice.
ExploreOfficial policy documents, regulatory frameworks, and international standards from governments and international organisations.
ExploreScholarly research papers from leading academic journals, conferences, and research institutions contributing to AI governance knowledge.
ExploreTechnical specifications and standards from standards organisations providing practical implementation guidance for AI systems.
ExploreIndustry analyses, market reports, and strategic insights from leading think tanks, consulting firms, and international organisations.
ExploreUse our assessment tools and implementation templates to turn these insights into action.
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