Piecing Together the Puzzle: Understanding Trust in Human-AI Teams

Anna Sophie Ulfert-Blank, Eleni Georganta, Myrthe Tielman, Tal Oron-Gilad

Research output: Contribution to journalConference articlepeer-review


With the increasing adoption of Artificial intelligence (AI) as a crucial component of business strategy, establishing trust between humans and AI teammates remains a key issue. The project “We are in this together” highlights current theories on trust in Human-AI teams (HAIT) and proposes a research model that integrates insights from Industrial and Organizational Psychology, Human Factors Engineering, Human-Computer Interaction, and Computer Science. The proposed model suggests that in HAIT, trust involves multiple actors and is critical for team success. We present three main propositions for understanding trust in HAIT collaboration, focused on trustworthiness and trustworthiness reactions in interpersonal relationships between humans and AI teammates. We further suggest that individual, technological, and environmental factors impact trust relationships in HAIT. The project aims to contribute in developing effective HAIT by proposing a research model of trust in HAIT.

Original languageEnglish
Pages (from-to)169-174
Number of pages6
JournalCEUR Workshop Proceedings
StatePublished - 1 Jan 2023
EventWorkshops at the 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2023 - Munich, Germany
Duration: 26 Jun 202327 Jun 2023


  • Human-AI teams
  • Multidisciplinary research
  • Theoretical model0F
  • Trust

ASJC Scopus subject areas

  • Computer Science (all)


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