IDEAS home Printed from https://ideas.repec.org/a/eee/ecanpo/v75y2022icp378-388.html
   My bibliography  Save this article

Interpreting national artificial intelligence plans: A screening approach for aspirations and reality

Author

Listed:
  • Fatima, Samar
  • Desouza, Kevin C.
  • Dawson, Gregory S.
  • Denford, James S.

Abstract

The recent release of several national artificial intelligence (AI) strategy plans is a certain harbinger of a more AI-centric future for many countries. At present, however, it is difficult to understand which of these plans merely reflect national pride and aspirations versus those that are currently being enacted. Guided by a screening approach under signalling theory, we first uncover the resources necessary to successfully implement a national AI strategy and assess the ability of each country to achieve its plans. We conducted a factor analysis and determined that two resources – technology and human resources – provide insights into the achievement of national AI strategies. Using these factors, we scored each country on its technology and human resources relative to AI fulfilment. As such, our screening enabled us to better understand which countries are progressing down the path to AI fulfilment versus those who are not currently taking any steps to do so.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecanpo:v:75:y:2022:i:c:p:378-388
    DOI: 10.1016/j.eap.2022.04.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0313592622000649
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eap.2022.04.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    2. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    3. Ant Afonso & João Tovar Jalles, 2014. "Fiscal composition and long-term growth," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 349-358, January.
    4. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
    5. 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.
    6. Mariagrazia Squicciarini & Heike Nachtigall, 2021. "Demand for AI skills in jobs: Evidence from online job postings," OECD Science, Technology and Industry Working Papers 2021/03, OECD Publishing.
    7. Stiglitz, Joseph E, 1975. "The Theory of "Screening," Education, and the Distribution of Income," American Economic Review, American Economic Association, vol. 65(3), pages 283-300, June.
    8. Alessandro Dalla Benetta & Maciej Sobolewski & Daniel Nepelski, 2021. "AI Watch: 2020 EU AI investments," JRC Research Reports JRC126477, Joint Research Centre.
    9. David Cyranoski, 2018. "China enters the battle for AI talent," Nature, Nature, vol. 553(7688), pages 260-261, January.
    10. Jan Jöhnk & Malte Weißert & Katrin Wyrtki, 2021. "Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 5-20, February.
    11. 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.
    12. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haodong Yang & Li Liu & Gaofeng Wang, 2024. "Does large-scale research infrastructure affect regional knowledge innovation, and how? A case study of the National Supercomputing Center in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Theodore Koutmeridis, 2013. "The Market for "Rough Diamonds": Information, Finance and Wage Inequality," CDMA Working Paper Series 201307, Centre for Dynamic Macroeconomic Analysis, revised 14 Oct 2013.
    2. Ursprung, Heinrich, 2019. "Endogenous maternity allowances as exemplified by academic promotion standards," Labour Economics, Elsevier, vol. 60(C), pages 1-11.
    3. 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.
    4. 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.
    5. Tomi Rajala, 2019. "Mind the Information Expectation Gap," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 104-125, March.
    6. Feng, Shuaizhang & Zheng, Bingyong, 2009. "Cherry-Picking in Labor Market with Imperfect Information," IZA Discussion Papers 4309, Institute of Labor Economics (IZA).
    7. Piopiunik, Marc & Schwerdt, Guido & Simon, Lisa & Woessmann, Ludger, 2020. "Skills, signals, and employability: An experimental investigation," European Economic Review, Elsevier, vol. 123(C).
    8. Wei-Bin ZHANG, 2014. "Human Capital, Wealth, and Renewable Resources," Expert Journal of Economics, Sprint Investify, vol. 2(1), pages 1-20.
    9. Fawwaz Tawfiq Awamleh & Ala Nihad Bustami, 2022. "Examine the Mediating Role of the Information Technology Capabilities on the Relationship Between Artificial Intelligence and Competitive Advantage During the COVID-19 Pandemic," SAGE Open, , vol. 12(3), pages 21582440221, August.
    10. Lee, Wayne L & Thakor, Anjan V & Vora, Gautam, 1983. "Screening, Market Signalling, and Capital Structure Theory," Journal of Finance, American Finance Association, vol. 38(5), pages 1507-1518, December.
    11. Bilal Barakat & Robin Shields, 2019. "Just Another Level? Comparing Quantitative Patterns of Global Expansion of School and Higher Education Attainment," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 917-934, June.
    12. Feng, Andy & Graetz, Georg, 2017. "A question of degree: The effects of degree class on labor market outcomes," Economics of Education Review, Elsevier, vol. 61(C), pages 140-161.
    13. Schwerdt, Guido & Woessmann, Ludger, 2017. "The information value of central school exams," Economics of Education Review, Elsevier, vol. 56(C), pages 65-79.
    14. SWATI Sharma, 2016. "Does Education Determine Employment: Peculiarities Of The Indian Labour Market," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 11(1), pages 164-180, April.
    15. Wei-Bin Zhang, 2016. "Impact of Education Subsidies and Taxation on Wealth and Human Capital Accumulation," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(3), pages 222-247.
    16. John H Goldthorpe, 2014. "The role of education in intergenerational social mobility: Problems from empirical research in sociology and some theoretical pointers from economics," Rationality and Society, , vol. 26(3), pages 265-289, August.
    17. Ilse Tobback & Dieter Verhaest & Stijn Baert, 2024. "Internships, Hiring Outcomes and Underlying Mechanisms: A Stated Preferences Experiment," De Economist, Springer, vol. 172(1), pages 25-48, March.
    18. Darby, Michael R. & Lott, John Jr., 1989. "Qualitative information, reputation, and monopolistic competition," International Review of Law and Economics, Elsevier, vol. 9(1), pages 87-103, June.
    19. Lofstrom, Magnus, 2000. "A Comparison of the Human Capital and Signaling Models: The Case of the Self-Employed and the Increase in the Schooling Premium in the 1980's," IZA Discussion Papers 160, Institute of Labor Economics (IZA).
    20. Daniel Kreisman & Jonathan Smith & Bondi Arifin, 2023. "Labor Market Signaling and the Value of College: Evidence from Resumes and the Truth," Journal of Human Resources, University of Wisconsin Press, vol. 58(6), pages 1820-1849.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecanpo:v:75:y:2022:i:c:p:378-388. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/economic-analysis-and-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.