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DOI10.1073/pnas.2010202118
From driverless dilemmas to more practical commonsense tests for automated vehicles
De Freitas J.; Censi A.; Smith B.W.; Lillo L.D.; Anthony S.E.; Frazzoli E.
发表日期2021
ISSN00278424
卷号118期号:11
英文摘要For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing complex autonomous systems with ethically acceptable behavior. We outline how one prominent, ethically relevant component of AVs-driving behavior-is inextricably linked to stakeholders in the technical, regulatory, and social spheres of the field. Whereas humans are presumed (rightly or wrongly) to have the "common sense" to behave ethically in new driving situations beyond a standard driving test, AVs do not (and probably should not) enjoy this presumption. We examine, at a high level, how to test the common sense of an AV. We start by reviewing discussions of "driverless dilemmas," adaptions of the traditional "trolley dilemmas" of philosophy that have sparked discussion on AV ethics but have limited use to the technical and legal spheres. Then, we explain how to substantially change the premises and features of these dilemmas (while preserving their behavioral diagnostic spirit) in order to lay the foundations for a more practical and relevant framework that tests driving common sense as an integral part of road rules testing. © 2021 National Academy of Sciences. All rights reserved.
英文关键词Artificial intelligence; Automated driving; Ethics; Policy; Public health
语种英语
scopus关键词artificial intelligence; ethics; human; public health; review; article
来源期刊Proceedings of the National Academy of Sciences of the United States of America
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/180300
作者单位Department of Psychology, Harvard University, Cambridge, MA 02138, United States; Department of Mechanical and Process Engineering, ETH Zürich, Zurich, 8092, Switzerland; School of Law, University of South Carolina, Columbia, SC 29201, United States; College of Engineering and Computing, University of South Carolina, Columbia, SC 29201, United States; Property and Casualty Solutions, Reinsurance, Swiss Reinsurance Company, Ltd., Zurich, 8022, Switzerland; Perceptive Automata Inc., Boston, MA 02108, United States
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De Freitas J.,Censi A.,Smith B.W.,et al. From driverless dilemmas to more practical commonsense tests for automated vehicles[J],2021,118(11).
APA De Freitas J.,Censi A.,Smith B.W.,Lillo L.D.,Anthony S.E.,&Frazzoli E..(2021).From driverless dilemmas to more practical commonsense tests for automated vehicles.Proceedings of the National Academy of Sciences of the United States of America,118(11).
MLA De Freitas J.,et al."From driverless dilemmas to more practical commonsense tests for automated vehicles".Proceedings of the National Academy of Sciences of the United States of America 118.11(2021).
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