The Moral Machine experiment

被引:0
|
作者
Edmond Awad
Sohan Dsouza
Richard Kim
Jonathan Schulz
Joseph Henrich
Azim Shariff
Jean-François Bonnefon
Iyad Rahwan
机构
[1] The Media Lab,Department of Human Evolutionary Biology
[2] Massachusetts Institute of Technology,Department of Psychology
[3] Harvard University,Institute for Data, Systems & Society
[4] University of British Columbia,undefined
[5] Toulouse School of Economics (TSM-R),undefined
[6] CNRS,undefined
[7] Université Toulouse Capitole,undefined
[8] Massachusetts Institute of Technology,undefined
来源
Nature | 2018年 / 563卷
关键词
Moral Machines; Machine Ethics; Moral Orientation; Autonomous Vehicles; Human Spare;
D O I
暂无
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学科分类号
摘要
With the rapid development of artificial intelligence have come concerns about how machines will make moral decisions, and the major challenge of quantifying societal expectations about the ethical principles that should guide machine behaviour. To address this challenge, we deployed the Moral Machine, an online experimental platform designed to explore the moral dilemmas faced by autonomous vehicles. This platform gathered 40 million decisions in ten languages from millions of people in 233 countries and territories. Here we describe the results of this experiment. First, we summarize global moral preferences. Second, we document individual variations in preferences, based on respondents’ demographics. Third, we report cross-cultural ethical variation, and uncover three major clusters of countries. Fourth, we show that these differences correlate with modern institutions and deep cultural traits. We discuss how these preferences can contribute to developing global, socially acceptable principles for machine ethics. All data used in this article are publicly available.
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页码:59 / 64
页数:5
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