Strategic AI Governance: Insights from Leading Nations

Fuente: arXiv
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Autor principal: Tjondronegoro, Dian W.
Formato: Preprint
Publicado: 2024
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author Tjondronegoro, Dian W.
author_facet Tjondronegoro, Dian W.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_01819
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Strategic AI Governance: Insights from Leading Nations
Tjondronegoro, Dian W.
Computers and Society
Artificial Intelligence
90-02
K.6.m
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.
title Strategic AI Governance: Insights from Leading Nations
topic Computers and Society
Artificial Intelligence
90-02
K.6.m
url https://arxiv.org/abs/2410.01819