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Self-Driving Cars and Engineering Ethics: The Need for a System Level Analysis

  • Jason Borenstein
  • Joseph R. Herkert
  • Keith W. Miller
Original Paper

Abstract

The literature on self-driving cars and ethics continues to grow. Yet much of it focuses on ethical complexities emerging from an individual vehicle. That is an important but insufficient step towards determining how the technology will impact human lives and society more generally. What must complement ongoing discussions is a broader, system level of analysis that engages with the interactions and effects that these cars will have on one another and on the socio-technical systems in which they are embedded. To bring the conversation of self-driving cars to the system level, we make use of two traffic scenarios which highlight some of the complexities that designers, policymakers, and others should consider related to the technology. We then describe three approaches that could be used to address such complexities and their associated shortcomings. We conclude by bringing attention to the “Moral Responsibility for Computing Artifacts: The Rules”, a framework that can provide insight into how to approach ethical issues related to self-driving cars.

Keywords

Artificial intelligence Automation Engineering ethics Self-driving cars Socio-technical systems 

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  1. 1.School of Public Policy and Office of Graduate StudiesGeorgia Institute of TechnologyAtlantaUSA
  2. 2.Interdisciplinary Studies, Genetic Engineering and Society CenterNorth Carolina State UniversityRaleighUSA
  3. 3.College of EducationUniversity of Missouri – St. LouisSt. LouisUSA

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