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Looking towards an automated future: U.S. attitudes towards future artificial intelligence instantiations and their effect

Author

Listed:
  • Ekaterina Novozhilova

    (College of Communication, Boston University)

  • Kate Mays

    (College of Agriculture and Life Sciences, University of Vermont)

  • James E. Katz

    (College of Communication, Boston University)

Abstract

The present study explores people’s attitudes towards an assortment of occupations on high and low-likelihood of automation probability. An omnibus survey (N = 1150) was conducted to measure attitudes about various emerging technologies, as well as demographic and individual traits. The results showed that respondents were not very comfortable with AI’s management across domains. To some degree, levels of comfort corresponded with the likelihood of automation probability, though some domains diverged from this pattern. Demographic traits explained the most variance in comfort with AI revealing that men and those with higher perceived technology competence were more comfortable with AI management in every domain. With the exception of personal assistance, those with lower internal locus of control were more comfortable with AI managing in almost every domain. Age, education, and employment showed little influence on comfort levels. The present study demonstrates a more holistic approach of assessing attitudes toward AI management at work. By incorporating demographic and self-efficacy variables, our research revealed that AI systems are perceived differently compared to other recent technological innovations.

Suggested Citation

  • Ekaterina Novozhilova & Kate Mays & James E. Katz, 2024. "Looking towards an automated future: U.S. attitudes towards future artificial intelligence instantiations and their effect," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02625-1
    DOI: 10.1057/s41599-024-02625-1
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Viswanath Venkatesh & Hillol Bala, 2012. "Adoption and Impacts of Interorganizational Business Process Standards: Role of Partnering Synergy," Information Systems Research, INFORMS, vol. 23(4), pages 1131-1157, December.
    3. Nazir Ullah & Waleed S. Alnumay & Waleed Mugahed Al-Rahmi & Ahmed Ibrahim Alzahrani & Hosam Al-Samarraie, 2020. "Modeling Cost Saving and Innovativeness for Blockchain Technology Adoption by Energy Management," Energies, MDPI, vol. 13(18), pages 1-22, September.
    4. Xu, Yingzi & Shieh, Chih-Hui & van Esch, Patrick & Ling, I-Ling, 2020. "AI customer service: Task complexity, problem-solving ability, and usage intention," Australasian marketing journal, Elsevier, vol. 28(4), pages 189-199.
    5. Maja Rožman & Polona Tominc & Borut Milfelner, 2023. "Maximizing employee engagement through artificial intelligent organizational culture in the context of leadership and training of employees: Testing linear and non-linear relationships," Cogent Business & Management, Taylor & Francis Journals, vol. 10(2), pages 2248732-224, December.
    6. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    7. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    8. Rebitschek, Felix G. & Gigerenzer, Gerd & Wagner, Gert G., 2021. "People underestimate the errors made by algorithms for credit scoring and recidivism prediction but accept even fewer errors," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11, pages 1-11.
    Full references (including those not matched with items on IDEAS)

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