The Moral Machine experiment
The Moral Machine experiment
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DOI：
10.1038/s41586-018-0637-6
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发表时间：
2018-11-01
期刊：
影响因子：
64.8
通讯作者：
Rahwan, Iyad
中科院分区：
文献类型：
--
作者：
Awad, Edmond;Dsouza, Sohan;Rahwan, Iyad
随着人工智能的快速发展，人们开始担心机器将如何做出道德决策，以及量化社会对指导机器行为的道德原则的期望的主要挑战。为了应对这一挑战，我们部署了道德机器，这是一个在线实验平台，旨在探索自动驾驶汽车面临的道德困境。该平台收集了 233 个国家和地区数百万人以 10 种语言做出的 4000 万条决策。在这里我们描述这个实验的结果。首先，我们总结全球道德偏好。其次，我们根据受访者的人口统计数据记录偏好的个体差异。第三，我们报告了跨文化的道德差异，并揭示了三个主要的国家集群。第四，我们表明这些差异与现代制度和深层文化特征相关。我们讨论这些偏好如何有助于制定全球性的、社会可接受的机器道德原则。本文中使用的所有数据都是公开的。
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.