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Can a Robot Lie? Exploring the Folk Concept of Lying as Applied to Artificial Agents

Kneer, Markus (2021). Can a Robot Lie? Exploring the Folk Concept of Lying as Applied to Artificial Agents. Cognitive Science, 45(10):e13032.

Abstract

The potential capacity for robots to deceive has received considerable attention recently. Many papers explore the technical possibility for a robot to engage in deception for beneficial purposes (e.g., in education or health). In this short experimental paper, I focus on a more paradigmatic case: robot lying (lying being the textbook example of deception) for nonbeneficial purposes as judged from the human point of view. More precisely, I present an empirical experiment that investigates the following three questions: (a) Are ordinary people willing to ascribe deceptive intentions to artificial agents? (b) Are they as willing to judge a robot lie as a lie as they would be when human agents engage in verbal deception? (c) Do people blame a lying artificial agent to the same extent as a lying human agent? The response to all three questions is a resounding yes. This, I argue, implies that robot deception and its normative consequences deserve considerably more attention than they presently receive.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:01 Faculty of Theology and the Study of Religion > Center for Ethics
06 Faculty of Arts > Institute of Philosophy
Dewey Decimal Classification:170 Ethics
Scopus Subject Areas:Social Sciences & Humanities > Experimental and Cognitive Psychology
Life Sciences > Cognitive Neuroscience
Physical Sciences > Artificial Intelligence
Uncontrolled Keywords:Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology
Language:English
Date:1 October 2021
Deposited On:30 Dec 2021 07:44
Last Modified:26 Dec 2024 02:40
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0364-0213
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1111/cogs.13032
Project Information:
  • Funder: SNSF
  • Grant ID: PZ00P1_179912
  • Project Title: Reading Guilty Minds
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  • Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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