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dc.contributor.authorBonnefon, J-F
dc.contributor.authorShariff, A
dc.contributor.authorRahwan, I
dc.date.accessioned2021-10-27T20:06:01Z
dc.date.available2021-10-27T20:06:01Z
dc.date.issued2016
dc.identifier.urihttps://hdl.handle.net/1721.1/134654
dc.description.abstractAutonomous vehicles (AVs) should reduce traffic accidents, but they will sometimes have to choose between two evils, such as running over pedestrians or sacrificing themselves and their passenger to save the pedestrians. Defining the algorithms that will help AVs make these moral decisions is a formidable challenge. We found that participants in six Amazon Mechanical Turk studies approved of utilitarian AVs (that is, AVs that sacrifice their passengers for the greater good) and would like others to buy them, but they would themselves prefer to ride in AVs that protect their passengers at all costs. The study participants disapprove of enforcing utilitarian regulations for AVs and would be less willing to buy such an AV. Accordingly, regulating for utilitarian algorithms may paradoxically increase casualties by postponing the adoption of a safer technology.
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)
dc.relation.isversionof10.1126/SCIENCE.AAF2654
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.sourcearXiv
dc.titleThe social dilemma of autonomous vehicles
dc.typeArticle
dc.relation.journalScience
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2019-07-25T13:12:03Z
dspace.orderedauthorsBonnefon, J-F; Shariff, A; Rahwan, I
dspace.date.submission2019-07-25T13:12:06Z
mit.journal.volume352
mit.journal.issue6293
mit.metadata.statusAuthority Work and Publication Information Needed


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