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Thinking about Trust: People, Process, and Place

  • Stephen Marsh
  • , Tosan Atele-Williams
  • , Anirban Basu
  • , Natasha Dwyer
  • , Peter R Lewis
  • , Hector Miller-Bakewell
  • , Jeremy Pitt
    • Faculty of Business and IT, Ontario Tech University, Oshawa, ON L1G 0C5, Canada.
    • Foundations of Software Systems Group, Department of Informatics, University of Sussex, Falmer, Brighton, East Sussex BN1 9QJ, UK.
    • College of Arts and Education, Victoria University, PO Box 14428, Melbourne, VIC 8001, Australia.
    • Department of Computer Science, University of Oxford, Wolfsson Building, Parks Road, Oxford OX1 3QD, UK.
    • Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, UK.

    Research output: Contribution to journal › Article › peer-review

    16 Downloads (Pure)

    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.]
    Original languageEnglish
    Article number100039
    JournalPatterns (New York, N.Y.)
    Volume1
    Issue number3
    DOIs
    Publication statusPublished - 12 Jun 2020

    Bibliographical note

    © 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/

    Keywords

    • artificial intelligence
    • data
    • people
    • trust
    • trust empowerment
    • trustworthiness

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