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130+ Authoritative Resources from WHO, UNESCO, OECD, NIST, ILO, FDA, UNEP, RAND, IMF, ECB and Leading Research Institutions
Comprehensive database of research papers, policy frameworks, technical standards, and industry reports aligned with our 9-pillar framework
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Featured Resources
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Recommendation on the Ethics of Artificial Intelligence
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.
Governing with Artificial Intelligence: The State of Play and Way Forward in Core Government Functions
Comprehensive analysis of 200 AI use cases across OECD governments, examining opportunities, risks, and practical guidance for responsible AI adoption in public sector functions.
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
Voluntary framework for managing risks to individuals, organisations, and society associated with AI, developed through consensus-driven collaboration with public and private sectors.
The Ethics of AI Ethics: An Evaluation of Guidelines
Critical evaluation of over 80 AI ethics guidelines from around the world, examining their effectiveness, convergence, and implementation challenges.
Risk-Based AI Regulation: A Primer on the Artificial Intelligence Act
Comprehensive primer on the EU AI Act's risk-based regulatory approach, serving as guide for US legislators and policymakers considering AI regulation.
Regulating Artificial Intelligence: U.S. and International Perspectives
Comparative analysis of AI regulatory approaches across major jurisdictions including US, EU, UK, China, and international organisations.
Academic Papers Lead in Top 20 Source Type Counts
Our research library features diverse source types, with academic papers representing the largest category
This breakdown shows the highest KCounts by source type, demonstrating our commitment to evidence-based, peer-reviewed research
Browse by Thematic Area
Resources organized by major AI governance themes aligned with our 9-pillar framework
AI Ethics Principles & Frameworks
Foundational principles, values, and frameworks guiding responsible AI development
AI Risk Management
Frameworks and methodologies for identifying, assessing, and mitigating AI risks
Regulatory Compliance & Policy
Legal requirements, regulations, and policy frameworks governing AI systems
Algorithmic Bias & Fairness
Understanding, detecting, and mitigating bias to ensure fair AI outcomes
Transparency & Explainability
Making AI systems interpretable, explainable, and accountable
Data Governance & Privacy
Managing data responsibly while protecting privacy and security
AI in Public Sector & Government
AI adoption, governance, and service delivery in government contexts
Environmental Sustainability of AI
Environmental impact of AI and strategies for sustainable development
Human-AI Interaction & Oversight
Ensuring meaningful human control and effective human-AI collaboration
Implementation & Best Practices
Practical guidance, tools, and standards for implementing AI governance
Governance and Regulation Dominate with 30% Share
Our resources are strategically organized across key AI governance themes
This distribution reflects the most critical areas of focus in responsible AI implementation, with Governance and Regulation forming the cornerstone
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