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A FRAMEWORK FOR ADDRESSING ETHICAL CONSIDERATIONS IN THE ENGINEERING OF AUTOMATED VEHICLES (AND OTHER TECHNOLOGIES)

Part of: Human Behaviour and Design

Published online by Cambridge University Press:  11 June 2020

J. Millar ,
D. Paz ,
S. M. Thornton ,
C. Parisi  and
J. C. Gerdes
J. Millar
Affiliation:
University of Ottawa, Canada
D. Paz
Affiliation:
Stanford University, United States of America
S. M. Thornton*
Affiliation:
Stanford University, United States of America
C. Parisi
Affiliation:
Apple Inc., United States of America
J. C. Gerdes
Affiliation:
Stanford University, United States of America
*
*smthorn@alumni.stanford.edu

Abstract

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Policymakers have attempted to preemptively address the concern of ethical issues with the regulation of automated vehicles. Unfortunately, both policymakers and designers of these technologies struggle to articulate ethical issues and their resolution. We propose a framework that engineers and designers of automated technologies can apply that allows them to identify and resolve ethical tensions within the design task. We demonstrate the practicability of the framework to the engineering design process through a human-subject study where engineers applied the framework in a workshop.

Keywords

ethicsparticipatory designartificial intelligence (AI)value sensitive designautonomous vehicle

Information

Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 1485 - 1494
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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