TY - JOUR
T1 - Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems
AU - Andras, Peter
AU - Esterle, Lukas
AU - Guckert, Michael
AU - Han, The Anh
AU - Lewis, Peter R.
AU - Milanovic, Kristina
AU - Payne, Terry
AU - Perret, Cedric
AU - Pitt, Jeremy
AU - Powers, Simon T.
AU - Urquhart, Neil
AU - Wells, Simon
N1 - © 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.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - 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?
AB - 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?
UR - https://ieeexplore.ieee.org/document/8558724/
U2 - 10.1109/MTS.2018.2876107
DO - 10.1109/MTS.2018.2876107
M3 - Article
SN - 0278-0097
VL - 37
SP - 76
EP - 83
JO - IEEE Technology and Society Magazine
JF - IEEE Technology and Society Magazine
IS - 4
ER -