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ABSTRACT. The purpose of this study was to empirically examine the moral decision-making capacity of self-driving cars. Building my argument by drawing on data collected from the AUVSI, Black & Veatch, Capgemini Research Institute, Ipsos/GenPop, Perkins Coie, Pew Research Center, Statista, I performed analyses and made estimates regarding how much consumers agree or disagree that self-driving cars will make driving more relaxing/safer/faster/easier/friendlier to the environment/more economical/more enjoyable/more comfortable, the most attractive technologies for investment for autonomous vehicles over the next five years (5G technology/vehicle-to-vehicle and vehicle-to-infrastructure communication technology/advanced driver assistance systems/precision mapping platforms and location technology/machine learning and driving data analysis/connectivity and infotainment features), and % of U.S. adults who say the number of people killed or injured in traffic accidents will increase/decrease/stay about the same if driverless vehicles become widespread. The structural equation modeling technique was used to test the research model.

Keywords: decision-making capacity; self-driving car; algorithm-driven sensing device

How to cite: Riegler, Carolyn (2019). “The Moral Decision-Making Capacity of Self-Driving Cars: Socially Responsible Technological Development, Algorithm-driven Sensing Devices, and Autonomous Vehicle Ethics,” Contemporary Readings in Law and Social Justice 11(1): 15–20. doi:10.22381/CRLSJ11120192

Received 7 March 2019 • Received in revised form 4 July 2019
Accepted 9 July 2019 • Available online 15 July 2019

Carolyn Riegler
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Social Science Research Unit
at CSA, Bristol, England

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