TY - JOUR
AU - Wells, Simon
AB - 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 and Simon Wells Introduction 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 for 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 
TI - Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems
JF - IEEE Technology and Society Magazine
DO - 10.1109/mts.2018.2876107
DA - 2018-12-01
UR - https://www.deepdyve.com/lp/unpaywall/trusting-intelligent-machines-deepening-trust-within-socio-technical-ELTgD3dI2D
DP - DeepDyve
ER -