 Shifting attitudes and trust in AI: Influences on organizational AI adoptionSarah J. Daly, Anna Wiewiora and Greg Hearn Technological Forecasting and Social Change, 2025, vol. 215, issue C Abstract: This paper investigates how trust in artificial intelligence (AI) influences its adoption in organizational settings, emphasizing the dynamic nature of attitudes towards AI. Using qualitative data from 29 interviews with AI developers, managers, and users, the study identifies three attitudinal positions: positive, negative, and instrumental. The findings reveal that attitudes towards AI are changing, often shifting from negative or instrumental to positive as individuals gain knowledge and experience with AI technologies. For example, we found evidence that instrumental attitudes, which require evidence before trust is established, become more positive when people become more familiar with AI. Negative attitudes, rooted in perceived threats like job displacement or privacy concerns, tend to shift when people begun to realize AI benefits. Building on organizational trust and trust in AI theory, this paper extends the understanding of differences in how AI developers, managers and users develop trust in AI. Keywords: Artificial intelligence; Trust in AI; Attitudes; AI adoption; Interview study (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:215:y:2025:i:c:s0040162525001398 DOI: 10.1016/j.techfore.2025.124108 Access Statistics for this article Technological Forecasting and Social Change is currently edited by Fred Phillips More articles in Technological Forecasting and Social Change from Elsevier |
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