Shaping a multidisciplinary understanding of team trust in human-AI teams: a theoretical framework

Shaping a multidisciplinary understanding of team trust in human-AI teams: a theoretical framework

Ulfert, Anna-Sophie (Eindhoven University of Technology)
Georganta, Eleni (Universiteit van Amsterdam)
Centeio Jorge, C. (TU Delft Interactive Intelligence)
Mehrotra, S. (TU Delft Interactive Intelligence)
Tielman, M.L. (TU Delft Interactive Intelligence)

2023

Intelligent systems are increasingly entering the workplace, gradually moving away from technologies supporting work processes to artificially intelligent (AI) agents becoming team members. Therefore, a deep understanding of effective human-AI collaboration within the team context is required. Both psychology and computer science literature emphasize the importance of trust when humans interact either with human team members or AI agents. However, empirical work and theoretical models that combine these research fields and define team trust in human-AI teams are scarce. Furthermore, they often lack to integrate central aspects, such as the multilevel nature of team trust and the role of AI agents as team members. Building on an integration of current literature on trust in human-AI teaming across different research fields, we propose a multidisciplinary framework of team trust in human-AI teams. The framework highlights different trust relationships that exist within human-AI teams and acknowledges the multilevel nature of team trust. We discuss the framework’s potential for human-AI teaming research and for the design and implementation of trustworthy AI team members.

http://resolver.tudelft.nl/uuid:642b6252-8d07-4a8a-b6c0-1da9b9a28650

https://doi.org/10.1080/1359432X.2023.2200172

1359-432X

European Journal of Work and Organizational Psychology, 33 (2), 158-171

Institutional Repository

journal article

© 2023 Anna-Sophie Ulfert, Eleni Georganta, C. Centeio Jorge, S. Mehrotra, M.L. Tielman