Supradyadic Trust in Artificial Intelligence

Open Access
Conference Proceedings
Authors: Stephen Dorton

Abstract: There is a considerable body of research on trust in Artificial Intelligence (AI). Trust has been viewed almost exclusively as a dyadic construct, where it is a function of various factors between the user and the agent, mediated by the context of the environment. A recent study has found several cases of supradyadic trust interactions, where a user’s trust in the AI is affected by how other people interact with the agent, above and beyond endorsements or reputation. An analysis of these surpradyadic interactions is presented, along with a discussion of practical considerations for AI developers, and an argument for more complex representations of trust in AI.

Keywords: AI, Trust, Teaming, Sociotechnical Systems, Naturalistic Methods

DOI: 10.54941/ahfe1001451

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