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Strategic AI Governance: Insights from Leading Nations

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arxiv 2410.01819 v1 pith:YNG74GLX submitted 2024-09-16 cs.CY cs.AI

classification cs.CYcs.AI
keywords governancenationsstrategiesadoptionindustriesinsightsleadingpublic
verification ladder T0 review T1 audit T2 compute T3 formal
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Artificial Intelligence (AI) has the potential to revolutionize various sectors, yet its adoption is often hindered by concerns about data privacy, security, and the understanding of AI capabilities. This paper synthesizes AI governance approaches, strategic themes, and enablers and challenges for AI adoption by reviewing national AI strategies from leading nations. The key contribution is the development of an EPIC (Education, Partnership, Infrastructure, Community) framework, which maps AI implementation requirements to fully realize social impacts and public good from successful and sustained AI deployment. Through a multi-perspective content analysis of the latest AI strategy documents, this paper provides a structured comparison of AI governance strategies across nations. The findings offer valuable insights for governments, academics, industries, and communities to enable responsible and trustworthy AI deployments. Future work should focus on incorporating specific requirements for developing countries and applying the strategies to specific AI applications, industries, and the public sector.

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