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 and Wells, Simon (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE Technology and Society Magazine, 37 (4), pp. 76-83.

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?

Publication DOI: https://doi.org/10.1109/MTS.2018.2876107
Divisions: Engineering & Applied Sciences
Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Engineering & Applied Sciences > Computer science research group
Additional Information: © 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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Related URLs: https://ieeexpl ... cument/8558724/ (Publisher URL)
Published Date: 2018-12-04
Authors: Andras, Peter
Esterle, Lukas ( 0000-0002-0248-1552)
Guckert, Michael
Han, The Anh
Lewis, Peter R. ( 0000-0003-4271-8611)
Milanovic, Kristina
Payne, Terry
Perret, Cedric
Pitt, Jeremy
Powers, Simon T.
Urquhart, Neil
Wells, Simon

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