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Emerging Contours of AI Governance and the Three Layers of Regulatory Heterogeneity

Published at 15 May 2024

The rapid adoption of artificial intelligence (AI) across jurisdictions and sectors has triggered work on robust governance frameworks globally. The broad, simultaneous advance of AI rules presents an opportunity and a risk. With many regulatory approaches emerging, governments have an opportunity to learn rapidly about effective tools to regulate AI. At the same time, a hardening patchwork of AI rules risks a fragmentation of the global AI market into isolated regional blocs. This study leverages a novel dataset of eleven AI rulebooks to: 1) Map the scope and scale of current AI governance and link it to established OECD AI Principles. 2) Develop a framework to assess where and how diverging regulations might lead to digital fragmentation, offering insights into the coordination required to mitigate such risks.

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Why cooperation on AI rules is a game of multidimensional chess

Published at 03 May 2024

The second finding of our AI series shows how governments draw from ten different policy areas to establish AI rules.

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