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National strategic artificial intelligence plans: A multi-dimensional analysis

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  • Fatima, Samar
  • Desouza, Kevin C.
  • Dawson, Gregory S.

Abstract

Nations have recognized the transformational potential of artificial intelligence (AI). Advances in AI will impact all facets of society. A spate of recently released national strategic AI plans provides valuable insights into how nations are considering their future trajectories. These strategic plans offer a rich source of evidence to understand national-level strategic actions, both proactive and reactive, in the face of rapid technological innovation. Based on a comprehensive content analysis of thirty-four national strategic plans, this article reports on (1) opportunities for AI to modernize the public sector and enhance industry competitiveness, (2) the role of the public sector in ensuring that the two most critical elements of AI systems, data and algorithms, are managed responsibly, (3) the role of the public sector in the governance of AI systems, and (4) how nations plan to invest in capacity development initiatives to strengthen their AI capabilities.

Suggested Citation

  • Fatima, Samar & Desouza, Kevin C. & Dawson, Gregory S., 2020. "National strategic artificial intelligence plans: A multi-dimensional analysis," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 178-194.
    • Handle: RePEc:eee:ecanpo:v:67:y:2020:i:c:p:178-194
    DOI: 10.1016/j.eap.2020.07.008
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    9. Ioannis Kosmas & Theofanis Papadopoulos & Georgia Dede & Christos Michalakelis, 2023. "The Use of Artificial Neural Networks in the Public Sector," FinTech, MDPI, vol. 2(1), pages 1-15, March.
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    13. Zhang, Xiaojing & Khan, Khalid & Shao, Xuefeng & Oprean-Stan, Camelia & Zhang, Qian, 2024. "The rising role of artificial intelligence in renewable energy development in China," Energy Economics, Elsevier, vol. 132(C).
    14. Yu-Che Chen & Michael J. Ahn & Yi-Fan Wang, 2023. "Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    15. Chen, Si & Wang, Zanxin, 2025. "Climate change and listed agricultural companies’ risk-taking," International Review of Economics & Finance, Elsevier, vol. 99(C).
    16. Fatima, Samar & Desouza, Kevin C. & Denford, James S. & Dawson, Gregory S., 2021. "What explains governments interest in artificial intelligence? A signaling theory approach," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 238-254.
    17. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
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    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • F68 - International Economics - - Economic Impacts of Globalization - - - Policy
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General

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