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Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices

Author

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  • Hengstler, Monika
  • Enkel, Ellen
  • Duelli, Selina

Abstract

Automation with inherent artificial intelligence (AI) is increasingly emerging in diverse applications, for instance, autonomous vehicles and medical assistance devices. However, despite their growing use, there is still noticeable skepticism in society regarding these applications. Drawing an analogy from human social interaction, the concept of trust provides a valid foundation for describing the relationship between humans and automation. Accordingly, this paper explores how firms systematically foster trust regarding applied AI. Based on empirical analysis using nine case studies in the transportation and medical technology industries, our study illustrates the dichotomous constitution of trust in applied AI. Concretely, we emphasize the symbiosis of trust in the technology as well as in the innovating firm and its communication about the technology. In doing so, we provide tangible approaches to increase trust in the technology and illustrate the necessity of a democratic development process for applied AI.

Suggested Citation

  • Hengstler, Monika & Enkel, Ellen & Duelli, Selina, 2016. "Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 105-120.
    • Handle: RePEc:eee:tefoso:v:105:y:2016:i:c:p:105-120
    DOI: 10.1016/j.techfore.2015.12.014
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    References listed on IDEAS

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    1. Ann-Marie Nienaber & Gerhard Schewe, 2014. "Enhancing Trust Or Reducing Perceived Risk, What Matters More When Launching A New Product?," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-24.
    2. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    3. Martínez-Torres, M.R. & Díaz-Fernández, M.C. & Toral, S.L. & Barrero, F., 2015. "The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 146-160.
    4. Michael J. Rouse & Urs S. Daellenbach, 1999. "Rethinking research methods for the resource‐based perspective: isolating sources of sustainable competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 20(5), pages 487-494, May.
    5. Lynn J Frewer & Chaya Howard & Richard Shepherd, 1998. "Understanding public attitudes to technology," Journal of Risk Research, Taylor & Francis Journals, vol. 1(3), pages 221-235, July.
    6. George P. Huber & Danial J. Power, 1985. "Retrospective reports of strategic‐level managers: Guidelines for increasing their accuracy," Strategic Management Journal, Wiley Blackwell, vol. 6(2), pages 171-180, April.
    7. Michael Gibbert & Winfried Ruigrok & Barbara Wicki, 2008. "What passes as a rigorous case study?," Strategic Management Journal, Wiley Blackwell, vol. 29(13), pages 1465-1474, December.
    8. 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.
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