Trust and Decision Making in Turing's Imitation Game

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Author(s): Huma Shah (Cogent Computing, Futures Institute, Innovation Village, Coventry University, UK)and Kevin Warwick (Coventry University, UK)
Copyright: 2019
Pages: 16
Source title: Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7368-5.ch016

Keywords: Artificial Intelligence / Human-Computer Interaction / Information Science Reference / Social Sciences & Humanities

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Abstract

Trust is an expected certainty in order to transact confidently. However, how accurate is our decision-making in human-machine interaction? In this chapter, the present evidence from experimental conditions in which human interrogators used their judgement of what constitutes a satisfactory response trusting a hidden interlocutor was human when it was actually a machine. A simultaneous comparison Turing test is presented with conversation between a human judge and two hidden entities during Turing100 at Bletchley Park, UK. Results of post-test conversational analysis by the audience at Turing Education Day show more than 30% made the same identification errors as the Turing test judge. Trust is found to be misplaced in subjective certainty that could lead to susceptibility to deception in cyberspace.

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Trust and Decision Making in Turing's Imitation Game

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