机构:
MIT, Media Lab, Cambridge, MA 02139 USAMIT, Media Lab, Cambridge, MA 02139 USA
Awad, Edmond
[1
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Dsouza, Sohan
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MIT, Media Lab, Cambridge, MA 02139 USAMIT, Media Lab, Cambridge, MA 02139 USA
Dsouza, Sohan
[1
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Kim, Richard
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机构:
MIT, Media Lab, Cambridge, MA 02139 USAMIT, Media Lab, Cambridge, MA 02139 USA
Kim, Richard
[1
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Schulz, Jonathan
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机构:
Harvard Univ, Dept Human Evolutionary Biol, Cambridge, MA 02138 USAMIT, Media Lab, Cambridge, MA 02139 USA
Schulz, Jonathan
[2
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Henrich, Joseph
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机构:
Harvard Univ, Dept Human Evolutionary Biol, Cambridge, MA 02138 USAMIT, Media Lab, Cambridge, MA 02139 USA
Henrich, Joseph
[2
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Shariff, Azim
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机构:
Univ British Columbia, Dept Psychol, Vancouver, BC, CanadaMIT, Media Lab, Cambridge, MA 02139 USA
Shariff, Azim
[3
]
Bonnefon, Jean-Francois
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机构:
Univ Toulouse Capitole, CNRS, Toulouse Sch Econ TSM R, Toulouse, FranceMIT, Media Lab, Cambridge, MA 02139 USA
Bonnefon, Jean-Francois
[4
]
Rahwan, Iyad
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机构:
MIT, Media Lab, Cambridge, MA 02139 USA
MIT, Inst Data Syst & Soc, 77 Massachusetts Ave, Cambridge, MA 02139 USAMIT, Media Lab, Cambridge, MA 02139 USA
Rahwan, Iyad
[1
,5
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机构:
[1] MIT, Media Lab, Cambridge, MA 02139 USA
[2] Harvard Univ, Dept Human Evolutionary Biol, Cambridge, MA 02138 USA
[3] Univ British Columbia, Dept Psychol, Vancouver, BC, Canada
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 / +
页数:17
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Wallach W., 2008, Moral machines: Teaching robots right from wrong