Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

Peter Andras, Lukas Esterle, Michael Guckert, The Anh Han, Peter R. Lewis, Kristina Milanovic, Terry Payne, Cedric Perret, Jeremy Pitt, Simon T. Powers, Neil Urquhart, Simon Wells

Research output: Contribution to journalArticle

Abstract

Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha Go Zero [1]) are an impressive example of an artificial intelligence system calculating results that even a human expert for the game can hardly retrace [2]. But this is, quite literally, a toy example. In reality, intelligent algorithms are encroaching more and more into our everyday lives, be it through algorithms that recommend products for us to buy, or whole systems such as driverless vehicles. We are delegating ever more aspects of our daily routines to machines, and this trend looks set to continue in the future. Indeed, continued economic growth is set to depend on it. The nature of human-computer interaction in the world that the digital transformation is creating will require (mutual) trust between humans and intelligent, or seemingly intelligent, machines. But what does it mean to trust an intelligent machine? How can trust be established between human societies and intelligent machines?
Original languageEnglish
Pages (from-to)76-83
JournalIEEE Technology and Society Magazine
Volume37
Issue number4
Early online date30 Nov 2018
DOIs
Publication statusPublished - 4 Dec 2018

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Human computer interaction
Artificial intelligence
Economics
toy
artificial intelligence
everyday life
economic growth
expert
human being
trend
interaction
society

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Andras, P., Esterle, L., Guckert, M., Han, T. A., Lewis, P. R., Milanovic, K., ... Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE Technology and Society Magazine, 37(4), 76-83. https://doi.org/10.1109/MTS.2018.2876107
Andras, Peter ; Esterle, Lukas ; Guckert, Michael ; Han, The Anh ; Lewis, Peter R. ; Milanovic, Kristina ; Payne, Terry ; Perret, Cedric ; Pitt, Jeremy ; Powers, Simon T. ; Urquhart, Neil ; Wells, Simon. / Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. In: IEEE Technology and Society Magazine. 2018 ; Vol. 37, No. 4. pp. 76-83.
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Andras, P, Esterle, L, Guckert, M, Han, TA, Lewis, PR, Milanovic, K, Payne, T, Perret, C, Pitt, J, Powers, ST, Urquhart, N & Wells, S 2018, 'Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems', IEEE Technology and Society Magazine, vol. 37, no. 4, pp. 76-83. https://doi.org/10.1109/MTS.2018.2876107

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. / Andras, Peter; Esterle, Lukas; Guckert, Michael; Han, The Anh; Lewis, Peter R.; Milanovic, Kristina; Payne, Terry; Perret, Cedric; Pitt, Jeremy; Powers, Simon T.; Urquhart, Neil; Wells, Simon.

In: IEEE Technology and Society Magazine, Vol. 37, No. 4, 04.12.2018, p. 76-83.

Research output: Contribution to journalArticle

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Andras P, Esterle L, Guckert M, Han TA, Lewis PR, Milanovic K et al. Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE Technology and Society Magazine. 2018 Dec 4;37(4):76-83. https://doi.org/10.1109/MTS.2018.2876107