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Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems

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


Peter Andras

Lukas Esterle

Michael Guckert

The Anh Han

Peter R. Lewis

Kristina Milanovic

Terry Payne

Cedric Perret

Jeremy Pitt


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?


Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., …Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technology & society magazine, 37(4), 76-83.

Journal Article Type Article
Acceptance Date Sep 27, 2018
Online Publication Date Dec 4, 2018
Publication Date 2018-12
Deposit Date Nov 12, 2018
Publicly Available Date Nov 13, 2018
Journal IEEE technology & society magazine
Print ISSN 0278-0097
Electronic ISSN 1937-416X
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 37
Issue 4
Pages 76-83
Public URL


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