The Moral Machine experiment

Edmond Awad, Sohan Dsouza, Richard Kim, Jonathan Schulz, Joseph Henrich, Azim Shariff (), Jean-François Bonnefon and Iyad Rahwan ()
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Edmond Awad: The Media Lab, Massachusetts Institute of Technology
Sohan Dsouza: The Media Lab, Massachusetts Institute of Technology
Richard Kim: The Media Lab, Massachusetts Institute of Technology
Jonathan Schulz: Harvard University
Joseph Henrich: Harvard University
Azim Shariff: University of British Columbia
Iyad Rahwan: The Media Lab, Massachusetts Institute of Technology

Nature, 2018, vol. 563, issue 7729, 59-64

Abstract: Abstract 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.

Keywords: Moral Machines; Machine Ethics; Moral Orientation; Autonomous Vehicles; Human Spare (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1038/s41586-018-0637-6

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