Thinking about Trust: People, Process, and Place

Stephen Marsh; Tosan Atele-Williams; Anirban Basu; Natasha Dwyer; Peter R Lewis; Hector Miller-Bakewell; Jeremy Pitt

doi:10.1016/j.patter.2020.100039

Thinking about Trust: People, Process, and Place

Stephen Marsh, Tosan Atele-Williams, Anirban Basu, Natasha Dwyer, Peter R Lewis, Hector Miller-Bakewell, Jeremy Pitt

Computer Science

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

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 language	English
Article number	100039
Journal	Patterns (New York, N.Y.)
Volume	1
Issue number	3
DOIs	https://doi.org/10.1016/j.patter.2020.100039
Publication status	Published - 12 Jun 2020

Bibliographical note

Keywords

artificial intelligence
data
people
trust
trust empowerment
trustworthiness

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10.1016/j.patter.2020.100039Licence: CC BY-NC-ND 3.0

Thinking about Trust: People, Process, and Place
© 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/).
Final published version, 560 KBLicence: CC BY-NC-ND 3.0

Cite this

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AU - Atele-Williams, Tosan

AU - Basu, Anirban

AU - Dwyer, Natasha

AU - Lewis, Peter R

AU - Miller-Bakewell, Hector

AU - Pitt, Jeremy

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AB - 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.]

KW - artificial intelligence

KW - data

KW - people

KW - trust

KW - trust empowerment

KW - trustworthiness

UR - https://www.sciencedirect.com/science/article/pii/S2666389920300441

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Thinking about Trust: People, Process, and Place

Abstract

Bibliographical note

Keywords

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