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National strategic artificial intelligence plans: A multi-dimensional analysis

Author

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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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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
    3. 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.
    4. 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.
    5. 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.
    6. Saima Javed & Yu Rong & Babar Nawaz Abbasi, 2024. "Convergence analysis of artificial intelligence research capacity: Are the less developed catching up with the developed ones?," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(4), pages 2172-2192, May.
    7. 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).
    8. Fatima, Samar & Desouza, Kevin C. & Dawson, Gregory S. & Denford, James S., 2022. "Interpreting national artificial intelligence plans: A screening approach for aspirations and reality," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 378-388.
    9. Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    10. Ming‐Lang Tseng & Hien Minh Ha & Thi Phuong Thuy Tran & Tat‐Dat Bui & Chih‐Cheng Chen & Chun‐Wei Lin, 2022. "Building a data‐driven circular supply chain hierarchical structure: Resource recovery implementation drives circular business strategy," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2082-2106, July.
    11. Ke An & Yike Shan & Sheng Shi, 2022. "Impact of Industrial Intelligence on Total Factor Productivity," Sustainability, MDPI, vol. 14(21), pages 1-21, November.
    12. Nicole Lemke & Philipp Trein & Frédéric Varone, 2023. "Agenda-setting in nascent policy subsystems: issue and instrument priorities across venues," Policy Sciences, Springer;Society of Policy Sciences, vol. 56(4), pages 633-655, December.

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    More about this item

    Keywords

    Artificial intelligence; Strategic plans; Technological innovation; Public agencies; Autonomous systems; Intelligent systems; Science and technology policy;
    All these keywords.

    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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