Thinking about Trust: People, Process, and Place

Abstract

This brief paper is about trust. It explores the phenomenon from various angles, with the implicit assumptions that trust can be measured in some ways, that trust can be compared and rated, and that trust is of worth when we consider entities from data, through artificial intelligences, to humans, with side trips along the way to animals. It explores trust systems and trust empowerment as opposed to trust enforcement, the creation of trust models, applications of trust, and the reasons why trust is of worth. [Abstract copyright: © 2020 The Authors.]

Publication DOI: https://doi.org/10.1016/j.patter.2020.100039
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
Additional Information: © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: artificial intelligence,data,people,trust,trust empowerment,trustworthiness
Publication ISSN: 2666-3899
Full Text Link:
Related URLs: https://www.sci ... 666389920300441 (Publisher URL)
PURE Output Type: Article
Published Date: 2020-06-12
Accepted Date: 2020-06-01
Authors: Marsh, Stephen
Atele-Williams, Tosan
Basu, Anirban
Dwyer, Natasha
Lewis, Peter R (ORCID Profile 0000-0003-4271-8611)
Miller-Bakewell, Hector
Pitt, Jeremy

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