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The Moral Decision-Making Capacity of Self-Driving Cars: Socially Responsible Technological Development, Algorithmdriven Sensing Devices, and Autonomo ...

The Moral Decision-Making Capacity of Self-Driving Cars: Socially Responsible Technological... The purpose of this study was to empirically examine the moral decisionmaking capacity of self-driving cars. Building my argument by drawing on data collected from the AUVSI, Black and 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Contemporary Readings in Law and Social Justice Addleton Academic Publishers

The Moral Decision-Making Capacity of Self-Driving Cars: Socially Responsible Technological Development, Algorithmdriven Sensing Devices, and Autonomo ...

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1948-9137
eISSN
2162-2752
Publisher site
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Abstract

The purpose of this study was to empirically examine the moral decisionmaking capacity of self-driving cars. Building my argument by drawing on data collected from the AUVSI, Black and 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

Journal

Contemporary Readings in Law and Social Justice – Addleton Academic Publishers

Published: Jan 1, 2019

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