Playing the blame game with robots

Markus Kneer, Michael T. Stuart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Recent research shows - somewhat astonishingly - that people are willing to ascribe moral blame to AI-driven systems when they cause harm [1]-[4]. In this paper, we explore the moral-psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system runs a risk of poisoning people by using a novel type of fertilizer. Manipulating the computational (or quasi-cognitive) abilities of the AI system in a between-subjects design, we tested whether people's willingness to ascribe knowledge of a substantial risk of harm (i.e., recklessness) and blame to the AI system. Furthermore, we investigated whether the ascription of recklessness and blame to the AI system would influence the perceived blameworthiness of the system's user (or owner). In an experiment with 347 participants, we found (i) that people are willing to ascribe blame to AI systems in contexts of recklessness, (ii) that blame ascriptions depend strongly on the willingness to attribute recklessness and (iii) that the latter, in turn, depends on the perceived "cognitive"capacities of the system. Furthermore, our results suggest (iv) that the higher the computational sophistication of the AI system, the more blame is shifted from the human user to the AI system.

Original languageEnglish
Title of host publicationHRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages407-411
Number of pages5
ISBN (Electronic)9781450382908
DOIs
StatePublished - 8 Mar 2021
Event2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 - Virtual, Online, United States
Duration: 8 Mar 202111 Mar 2021

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period8/03/2111/03/21

Keywords

  • Artificial intelligence
  • Ethics of ai
  • Mens rea
  • Moral judgment
  • Recklessness
  • Theory of mind

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