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Article published In: Multidisciplinary Perspectives on Human-AI Team Trust
Edited by Nicolo' Brandizzi, Morgan Elizabeth Bailey, Carolina Centeio Jorge, Myke C. Cohen, Francesco Frattolillo and Alan Richard Wagner
[Interaction Studies 26:2] 2025
► pp. 298–325

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Trustworthiness needs for the use of AI solutions in business

Ethical and empirical considerations

ORCiD logo with link | Westphalian University of Applied Sciences
ORCiD logo with link | Westphalian University of Applied Sciences
ORCiD logo with link | Westphalian University of Applied Sciences
Published online: 27 February 2026
DOI logo with link
https://doi.org/10.1075/is.24051.coe
Abstract
Using AI adequately is necessary for user companies to remain competitive. Studies show that nevertheless many companies are hesitant in this regard. In relation to the assumption that people’s ability to act is influenced by a lack of trust, particularly in the context of AI, we conducted a study as part of the TrustKI research project to analyze which factors are relevant to documenting trustworthiness in the context of AI. Our evaluation revealed that users demand holistic transparency; the provision of relevant information on the AI solution and proof of technical expertise is not sufficient to build trust, but there is a demand from users for specific information about the respective company. Based on the generally recognized components, we were able to identify further dimensions to provide the required information even more precisely. Thus, the study allows us to propose a preliminary set of information requirements for AI providers.
Article outline
  • 1.Introduction
  • 2.Background
  • 3.Material and methods
  • 4.Results
  • 5.Discussion
  • 6.Conclusion
  • References
References (53)
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