Psychological consequences of legal responsibility misattribution associated with automated vehicles

Ethics and Information Technology 23 (4):763-776 (2021)
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Abstract

A human driver and an automated driving system might share control of automated vehicles in the near future. This raises many concerns associated with the assignment of responsibility for negative outcomes caused by them; one is that the human driver might be required to bear the brunt of moral and legal responsibilities. The psychological consequences of responsibility misattribution have not yet been examined. We designed a hypothetical crash similar to Uber’s 2018 fatal crash. We incorporated five legal responsibility attributions. Participants chose their preferred liability attribution and then were randomly assigned into one of the five actual liability attribution conditions. They then responded to a series of questions concerning liability assignment, the crash, and AVs. Slightly more than 50% of participants thought that the human driver should bear full or primary liability. Legal responsibility misattribution negatively influenced these mentioned responses, regardless of overly attributing human or manufacturer liability. Overly attributing human liability had more negative influences. Improper liability attribution might hinder the adoption of AVs. Public opinion should not be ignored in developing a legal framework for AVs.

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Peng Liu
Beijing Normal University

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References found in this work

Robots, Law and the Retribution Gap.John Danaher - 2016 - Ethics and Information Technology 18 (4):299–309.
Killer robots.Robert Sparrow - 2007 - Journal of Applied Philosophy 24 (1):62–77.
Mind the gap: responsible robotics and the problem of responsibility.David J. Gunkel - 2020 - Ethics and Information Technology 22 (4):307-320.

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