title: The social dilemma of autonomous vehicles.
abstract: Autonomous 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.
authors.affiliation: Toulouse School of Economics, Institute for Advanced Study in Toulouse, Center for Research in Management, CNRS, University of Toulouse Capitole, Toulouse, France.
authors.forename: Jean-François
authors.initials: JF
authors.lastname: Bonnefon
authors.affiliation: Department of Psychology, University of Oregon, Eugene, OR 97403, USA. irahwan@mit.edu.
authors.forename: Azim
authors.initials: A
authors.lastname: Shariff
authors.affiliation: The Media Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. irahwan@mit.edu.
authors.forename: Iyad
authors.initials: I
authors.lastname: Rahwan
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D006801:Humans; D009014:Morals; D018986:Motor Vehicles / Q000941:ethics*; D012449:Safety