The most influential research in AI governance with 500+ citations each. These foundational papers have shaped the field and continue to guide policy and practice.
These papers have fundamentally shaped AI governance discourse and practice
Cited by researchers, policymakers, and practitioners globally
Essential reading for understanding current AI governance approaches
Different formats for different needs
Sorted by citation count
Critical evaluation of over 80 AI ethics guidelines from around the world, examining their effectiveness, convergence, and implementation challenges.
Characterizes carbon footprint of AI computing including manufacturing and operational emissions, proposing sustainable AI practices and metrics.
Comprehensive systematic review synthesizing research on algorithmic bias with integrated framework and agenda for future research directions.
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ExploreMust-read foundational frameworks and standards to build your understanding of AI governance. Perfect entry points for newcomers to the field.
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.
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