Drivers are blamed more than their automated cars when both make mistakes.

Szczegóły
Abstrakt

Tytuł:: Drivers are blamed more than their automated cars when both make mistakes.
Autorzy:: Awad E; Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Economics, University of Exeter Business School, Exeter, UK.
Levine S; Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Psychology, Harvard University, Cambridge, MA, USA.
Kleiman-Weiner M; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.; Department of Psychology, Harvard University, Cambridge, MA, USA.
Dsouza S; Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Tenenbaum JB; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA. .
Shariff A; Department of Psychology, University of British Columbia Vancouver, Vancouver, British Columbia, Canada. .
Bonnefon JF; Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. .; Toulouse School of Economics (TSM-Research), Centre National de la Recherche Scientifique, University of Toulouse Capitole, Toulouse, France. .
Rahwan I; Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. .; Centre for Humans & Machines, Max-Planck Institute for Human Development, Berlin, Germany. .; Institute for Data, Systems and Society, Massachusetts Institute of Technology, Cambridge, MA, USA. .
Źródło:: Nature human behaviour [Nat Hum Behav] 2020 Feb; Vol. 4 (2), pp. 134-143. Date of Electronic Publication: 2019 Oct 28.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Original Publication: [London] : Springer Nature Publishing, [2017]-
MeSH Terms:: Accidents, Traffic*/legislation & jurisprudence
Automation*/ethics
Automation*/legislation & jurisprudence
Automobile Driving*/legislation & jurisprudence
Automobiles*/ethics
Automobiles*/legislation & jurisprudence
Man-Machine Systems*
Safety*/legislation & jurisprudence
Social Perception*
Adult ; Humans ; Pedestrians/legislation & jurisprudence
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Entry Date(s):: Date Created: 20191030 Date Completed: 20200415 Latest Revision: 20210126
Update Code:: 20240104
DOI:: 10.1038/s41562-019-0762-8
PMID:: 31659321
: Czasopismo naukowe

When an automated car harms someone, who is blamed by those who hear about it? Here we asked human participants to consider hypothetical cases in which a pedestrian was killed by a car operated under shared control of a primary and a secondary driver and to indicate how blame should be allocated. We find that when only one driver makes an error, that driver is blamed more regardless of whether that driver is a machine or a human. However, when both drivers make errors in cases of human-machine shared-control vehicles, the blame attributed to the machine is reduced. This finding portends a public under-reaction to the malfunctioning artificial intelligence components of automated cars and therefore has a direct policy implication: allowing the de facto standards for shared-control vehicles to be established in courts by the jury system could fail to properly regulate the safety of those vehicles; instead, a top-down scheme (through federal laws) may be called for.

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