Computer-mediated trust in self-interested expert recommendations

Authors: Ben-Naim, Jonathan1; Bonnefon, Jean-François2; Herzig, Andreas1; Leblois, Sylvie3; Lorini, Emiliano3

Source: AI & SOCIETY, Volume 25, Number 4, November 2010 , pp. 413-422(10)

Publisher: Springer

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Important decisions are often based on a distributed process of information processing, from a knowledge base that is itself distributed among agents. The simplest such situation is that where a decision-maker seeks the recommendations of experts. Because experts may have vested interests in the consequences of their recommendations, decision-makers usually seek the advice of experts they trust. Trust, however, is a commodity that is usually built through repeated face time and social interaction and thus cannot easily be built in a global world where we have immediate internet access to a vast pool of experts. In this article, we integrate findings from experimental psychology and formal tools from Artificial Intelligence to offer a preliminary roadmap for solving the problem of trust in this computer-mediated environment. We conclude the article by considering a diverse array of extended applications of such a solution.

Keywords: Agent; Conflict of interest; Expert; Reputation; Trust

Document Type: Research Article


Affiliations: 1: CNRS, Toulouse, France 2: CNRS, Toulouse, France, Email: 3: Université de Toulouse, Toulouse, France

Publication date: November 1, 2010

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