Actual Trust in Multiagent Systems Extended Abstract
Publication date
2024-05
Authors
Akintunde, Michael
Yazdanpanah, Vahid
Fathabadi, Asieh Salehi
Cirstea, Corina
Dastani, Mehdi
Moreau, Luc
Editors
Advisors
Supervisors
Document Type
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/conferencearticle
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Abstract
We study how trust can be established in multiagent systems where human and AI agents collaborate. We propose a computational notion of actual trust, emphasising the modelling of trust based on agents' capacity to deliver tasks in prospect. Unlike reputation-based trust, we consider the specific setting in which agents interact and model a forward-looking notion of trust. We provide a conceptual analysis of actual trust's characteristics and highlight relevant trust verification tools. By advancing the understanding and verification of trust in collaborative systems, we contribute to responsible and trustworthy human-AI interactions, enhancing reliability in various domains.
Keywords
Human-AI Interactions, Multiagent Systems, Trust, Artificial Intelligence, Software, Control and Systems Engineering
Citation
Akintunde, M, Yazdanpanah, V, Fathabadi, A S, Cirstea, C, Dastani, M & Moreau, L 2024, 'Actual Trust in Multiagent Systems Extended Abstract', Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, vol. 2024, no. May, pp. 2114-2116. https://doi.org/10.5555/3635637.3663078