dc.contributor.author | Awad, E | |
dc.contributor.author | Dsouza, S | |
dc.contributor.author | Kim, R | |
dc.contributor.author | Schulz, J | |
dc.contributor.author | Henrich, J | |
dc.contributor.author | Shariff, A | |
dc.contributor.author | Bonnefon, J-F | |
dc.contributor.author | Rahwan, I | |
dc.date.accessioned | 2019-10-14T13:11:34Z | |
dc.date.issued | 2018-10-24 | |
dc.description.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. | en_GB |
dc.description.sponsorship | Ethics and Governance of Artificial Intelligence Fund | en_GB |
dc.description.sponsorship | ANR-Labex Institute for Advanced Study | en_GB |
dc.identifier.citation | Vol. 563, pp. 59–64 | en_GB |
dc.identifier.doi | 10.1038/s41586-018-0637-6 | |
dc.identifier.uri | http://hdl.handle.net/10871/39187 | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.source | Source data and code that can be used to reproduce Figs. 2-4; Extended Data Figs. 1-7; Extended Data Tables 1-2; Supplementary Figures S3-S21; and Supplementary Table S2 are all available at the following link: https://goo.gl/JXRrBP. The provided data, both at the individual level (anonymized IDs) and the country level, can be used beyond replication to answer follow up research questions. | en_GB |
dc.relation.url | https://www.nature.com/ | en_GB |
dc.rights | © 2018 Springer Nature Limited. All rights reserved. | en_GB |
dc.subject | Culture | en_GB |
dc.subject | Ethics | en_GB |
dc.subject | Human Behaviour | en_GB |
dc.title | The Moral Machine experiment | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-10-14T13:11:34Z | |
dc.identifier.issn | 0028-0836 | |
dc.description | This is the author accepted manuscript. The final version is available from Nature Research via the DOI in this record. | en_GB |
dc.identifier.journal | Nature | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2018-09-25 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2018-11-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-10-02T16:30:47Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-10-14T13:11:40Z | |
refterms.panel | C | en_GB |
refterms.depositException | notEmployedAtUKHEI | |
refterms.depositExceptionExplanation | Submitted date 02 March 2018 - author working at Massachusetts Institute of Technology, Cambridge, MA, USA at the time of submission. | |
refterms.dateFirstOnline | 2018-10-24 | |