4th International Workshop on Multidisciplinary Perspectives on Human-AI Team Trust

About

With the increasing prominence of human-agent interaction in hybrid teams in diverse industries, human-agent teamwork is no longer a topic of the future, but of the present. However, several challenges arise that still need to be addressed carefully. One of these challenges is understanding how trust is defined and how it functions in human-agent teams. Psychological literature suggests that within human teams, team members rely on trust to make decisions and to be willing to rely on their team. Moreover, the multi-agent systems (MAS) community has been adopting trust mechanisms to support decision-making of the agents regarding their peers and for delegating tasks to agents. Finally, in the last couple of years, researchers have been focusing on how humans trust AI agents and how such systems can be trustworthy. How- ever, bringing this knowledge on teams and trust together in a HI setting brings its own unique perspectives. When we think of a team composed of both humans and agents, with recurrent (or not) interactions, how do these all come together? Currently, we are missing approaches that integrate the prior literature on trust in teams in these different disciplines. In particular, when looking at dyadic or team-level trust relationships in such a team, we also need to look at how an AI should trust a human teammate. In this context, trust, or rather the factors that influence it, must be formally defined so that the AI can evaluate them, rather than using questionnaires at the end of a task, as is usually assessed in psychology. Furthermore, a human’s trust in an artificial team member, and vice-versa, will change over time, affecting the trust dynamics. In this workshop, we want to motivate the conversation across the different fields and domains. Together, we intend to shape the road to address these questions to guarantee a successful and trustworthy human-AI agent teamwork With these premises, we are organizing the MULTITTRUST 4.0 workshop, which is part of the HHAI conference 2025. This is the third edition of the original MULTITRUST workshop at the HHAI 2025 Conference in Pisa Our goal is to motivate the conversation across the different fields and domains, and shape the road to answer these questions and more.

Topics

This workshop calls for contribution and/or participation from several disciplines, including Psychology, Sociology, Cognitive Science, Computer Science, Artificial Intelligence, Multi-Agent Systems, Robotics, Human-Computer Interaction, Design and Philosophy. Topics related to this workshop include:

• Measures of team trust in human-AI teams
• Human's trust and trustworthiness in human-AI teams
• Dynamics of trust between human and AI in teamwork
• Hybrid techniques (knowledge-driven and data-driven) to assess trust and trustworthiness in human-AI teams.
• Machine learning techniques to detect trust and trustworthiness in human-AI teams and teammates
• Evaluation methods for trust and trustworthiness models in human-AI teams
• Experimental settings for trust dynamics in human-AI teams
• Design of systems that take into account trust dynamics in human-AI teams
• Trust dynamics among team members
• Understanding of collective agency and action in human-AI teams

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Extended Abstracts (3 pages): Introduce the author(s) and their interest in the topic. These can be overviews of past work, preliminary work in progress, or plans for future research. The goal of these papers is to serve as a base for introducing the participant's to each-others work and expertise. A 5-minute presentation will accompany these submissions.
• Progress Papers (up to 7 pages): Describe a specific piece of new work, including work in progress or recently published work (published in 2023 or later). These submissions should share new results and insights, and facilitate discussions on ongoing projects. A 10-minute presentation will accompany these submissions.

Committees

Steering Committee

• Carolina Centeio Jorge, Delft University of Technology
• Anna-Sophie Ulfert-Blank, Eindhoven University of Technology
• Myrthe Tielman, Delft University of Technology
• Nicolo' Brandizzi, Fraunhofer-IAIS
• André Meyer-Vitali, DFKI

Organizing committee

• Myrthe Tielman, Delft University of Technology
• André Meyer-Vitali, DFKI
• Susanne Uusitalo, University of Turku
• Alessandra Rossi, University of Naples Federico II
• Raffaella Esposito, University of Naples Federico II

Contact

All questions about submissions should be emailed to us.