The social dilemma of autonomous vehicles

被引:817
|
作者
Bonnefon, Jean-Francois [1 ]
Shariff, Azim [2 ,4 ]
Rahwan, Iyad [3 ]
机构
[1] Univ Toulouse Capitole, CNRS, Inst Adv Study Toulouse, Toulouse Sch Econ,Ctr Res Management, Toulouse, France
[2] Univ Oregon, Dept Psychol, Eugene, OR 97403 USA
[3] MIT, Media Lab, Cambridge, MA 02139 USA
[4] Univ Calif Irvine, Dept Psychol & Social Behav, Social & Behav Sci Gateway 4201, Irvine, CA 92697 USA
关键词
MACHINE ETHICS; LIFE;
D O I
10.1126/science.aaf2654
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Autonomous vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils, such as running over pedestrians or sacrificing themselves and their passenger to save the pedestrians. Defining the algorithms that will help AVs make these moral decisions is a formidable challenge. We found that participants in six Amazon Mechanical Turk studies approved of utilitarian AVs (that is, AVs that sacrifice their passengers for the greater good) and would like others to buy them, but they would themselves prefer to ride in AVs that protect their passengers at all costs. The study participants disapprove of enforcing utilitarian regulations for AVs and would be less willing to buy such an AV. Accordingly, regulating for utilitarian algorithms may paradoxically increase casualties by postponing the adoption of a safer technology.
引用
收藏
页码:1573 / 1576
页数:4
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