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Open AccessArticle

Trust, Privacy, and Frame Problems in Social and Business E-Networks, Part 1

by Jeff Buechner 1,2
Department of Philosophy, Rutgers University-Newark, Newark, NJ, USA
The Saul Kripke Center, CUNY, The Graduate Center, New York, NY, USA
Information 2011, 2(1), 195-216;
Received: 24 December 2010 / Revised: 21 February 2011 / Accepted: 22 February 2011 / Published: 1 March 2011
(This article belongs to the Special Issue Trust and Privacy in Our Networked World)
Privacy issues in social and business e-networks are daunting in complexity—private information about oneself might be routed through countless artificial agents. For each such agent, in that context, two questions about trust are raised: Where an agent must access (or store) personal information, can one trust that artificial agent with that information and, where an agent does not need to either access or store personal information, can one trust that agent not to either access or store that information? It would be an infeasible task for any human being to explicitly determine, for each artificial agent, whether it can be trusted. That is, no human being has the computational resources to make such an explicit determination. There is a well-known class of problems in the artificial intelligence literature, known as frame problems, where explicit solutions to them are computationally infeasible. Human common sense reasoning solves frame problems, though the mechanisms employed are largely unknown. I will argue that the trust relation between two agents (human or artificial) functions, in some respects, is a frame problem solution. That is, a problem is solved without the need for a computationally infeasible explicit solution. This is an aspect of the trust relation that has remained unexplored in the literature. Moreover, there is a formal, iterative structure to agent-agent trust interactions that serves to establish the trust relation non-circularly, to reinforce it, and to “bootstrap” its strength. View Full-Text
Keywords: trust; akrasia; Deweyan conception of knowledge trust; akrasia; Deweyan conception of knowledge
MDPI and ACS Style

Buechner, J. Trust, Privacy, and Frame Problems in Social and Business E-Networks, Part 1. Information 2011, 2, 195-216.

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