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Volume 26, Issue 2
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Abstract

Abstract

Human-AI teamwork is no longer a topic of the future. Given the importance of trust in human teams, the question arises how trust functions in human-AI teams. Although trust has long been studied from a human-centred perspective (e.g. in psychology and philosophy), a computational perspective and from the perspective of human trust in AI (e.g. in human-computer interaction), the study of trust in human-AI interaction in a team setting is still a novel field. For this reason, the MULTITTRUST (Multidisciplinary perspectives on Human-AI Team Trust) workshop series was founded. In this paper, we present the main outcomes after three editions. Our contributions are: an overview of the shared language of concepts and definitions; an outline of the main open research challenges; and methodological guidelines for further studies in meaningful human-AI team trust. These three contributions form a foundational roadmap towards a better understanding of trust in human-AI team interactions.

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2026-02-27
2026-03-17

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Multidisciplinary perspectives on human‑AI team trust
Interaction Studies 26, 164 (2025); https://doi.org/10.1075/is.24048.tie
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  • Article Type: Research Article
Keyword(s): human-AI collaboration; human-AI teamwork; research challenges; team trust; trust; trustworthy AI

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