This paper refines the received analysis of deceptive lies. This is done by assessing some cases of lies that are supposedly not intended to deceive and by arguing that they actually involve sophisticated strategies of intentional deception. These lies, that is, merely seem not to be intended to deceive and this is because our received analysis of deceptive lies is insufficiently sophisticated. We need to add these strategies to our analysis of deceptive lying. The argument ends by presenting this refined (...) analysis. (shrink)

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. (shrink)