IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v12y2023i9p502-d1234519.html
   My bibliography  Save this article

Perceptions and Acceptance of Artificial Intelligence: A Multi-Dimensional Study

Author

Listed:
  • Michael Gerlich

    (Department of Management, SBS Swiss Business School, 8302 Kloten, Zurich, Switzerland)

Abstract

In this comprehensive study, insights from 1389 scholars across the US, UK, Germany, and Switzerland shed light on the multifaceted perceptions of artificial intelligence (AI). AI’s burgeoning integration into everyday life promises enhanced efficiency and innovation. The Trustworthy AI principles by the European Commission, emphasising data safeguarding, security, and judicious governance, serve as the linchpin for AI’s widespread acceptance. A correlation emerged between societal interpretations of AI’s impact and elements like trustworthiness, associated risks, and usage/acceptance. Those discerning AI’s threats often view its prospective outcomes pessimistically, while proponents recognise its transformative potential. These inclinations resonate with trust and AI’s perceived singularity. Consequently, factors such as trust, application breadth, and perceived vulnerabilities shape public consensus, depicting AI as humanity’s boon or bane. The study also accentuates the public’s divergent views on AI’s evolution, underlining the malleability of opinions amidst polarising narratives.

Suggested Citation

  • Michael Gerlich, 2023. "Perceptions and Acceptance of Artificial Intelligence: A Multi-Dimensional Study," Social Sciences, MDPI, vol. 12(9), pages 1-24, September.
    • Handle: RePEc:gam:jscscx:v:12:y:2023:i:9:p:502-:d:1234519
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/12/9/502/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2076-0760/12/9/502/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Diego Restuccia & Richard Rogerson, 2017. "The Causes and Costs of Misallocation," Journal of Economic Perspectives, American Economic Association, vol. 31(3), pages 151-174, Summer.
    2. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    3. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2006. "Does Culture Affect Economic Outcomes?," Journal of Economic Perspectives, American Economic Association, vol. 20(2), pages 23-48, Spring.
    4. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    5. Kenneth J. Arrow & L. Kamran Bilir & Alan Sorensen, 2020. "The Impact of Information Technology on the Diffusion of New Pharmaceuticals," American Economic Journal: Applied Economics, American Economic Association, vol. 12(3), pages 1-39, July.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    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. Nuno Ligeiro & Ivo Dias & Ana Moreira, 2024. "Recruitment and Selection Process Using Artificial Intelligence: How Do Candidates React?," Administrative Sciences, MDPI, vol. 14(7), pages 1-17, July.
    2. Asimina Saklaki & Antonis Gardikiotis, 2024. "Exploring Greek Students’ Attitudes Toward Artificial Intelligence: Relationships with AI Ethics, Media, and Digital Literacy," Societies, MDPI, vol. 14(12), pages 1-11, November.

    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. Annie Tubadji & Toby Denney & Don J. Webber, 2021. "Cultural relativity in consumers' rates of adoption of artificial intelligence," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1234-1251, July.
    2. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    3. Maurice Bun & Jasper de Winter, 2019. "Measuring trends and persistence in capital and labor misallocation," DNB Working Papers 639, Netherlands Central Bank, Research Department.
    4. Uwe JIRJAHN & Stephen C. SMITH, 2018. "Nonunion Employee Representation: Theory And The German Experience With Mandated Works Councils," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(1), pages 201-233, March.
    5. Ufuk Akcigit & Sina T. Ates, 2023. "What Happened to US Business Dynamism?," Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2059-2124.
    6. Lütkenhorst, Wilfried, 2018. "Creating wealth without labour? Emerging contours of a new techno-economic landscape," IDOS Discussion Papers 11/2018, German Institute of Development and Sustainability (IDOS).
    7. Joshua Greenstein, 2020. "The Precariat Class Structure and Income Inequality among US Workers: 1980–2018," Review of Radical Political Economics, Union for Radical Political Economics, vol. 52(3), pages 447-469, September.
    8. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    9. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    10. Maurice J.G. Bun & Jasper Winter, 2022. "Capital and labor misallocation in the Netherlands," Journal of Productivity Analysis, Springer, vol. 57(1), pages 93-113, February.
    11. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
    12. Sonal Pandey, 2021. "Artificial Intelligence and Food Industry," RAIS Conference Proceedings 2021 0058, Research Association for Interdisciplinary Studies.
    13. Alejandro Micco, 2019. "The Impact of Automation in Developed Countries," Working Papers wp480, University of Chile, Department of Economics.
    14. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    15. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    16. Pierre Barral & Mehdi Senouci, 2018. "Walking on two legs: Growth accounting with labor-saving and capital-saving technical change," Working Papers hal-01709599, HAL.
    17. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.
    18. Andrea Salvatori & Seetha Menon & Wouter Zwysen, 2018. "The effect of computer use on job quality: Evidence from Europe," OECD Social, Employment and Migration Working Papers 200, OECD Publishing.
    19. Lankisch, Clemens & Prettner, Klaus & Prskawetz, Alexia, 2019. "How can robots affect wage inequality?," Economic Modelling, Elsevier, vol. 81(C), pages 161-169.
    20. Warning, Anja & Weber, Enzo, 2018. "Digitalisation, hiring and personnel policy: evidence from a representative business survey," IAB-Discussion Paper 201810, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    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:gam:jscscx:v:12:y:2023:i:9:p:502-:d:1234519. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.