2013/01/01 by Jean-François Bonnefon, Jean‐François Bonnefon, Azim Shariff +2 · 3 voices · 6 citations
Business, Management and Accounting · Computer Science · Decision Sciences · Neuroscience · Psychology · Social Sciences · #Auction Theory and Applications #Corporate Finance and Governance #Death Anxiety and Social Exclusion #Ethics and Social Impacts of AI #Psychology of Moral and Emotional Judgment #Supply Chain and Inventory Management #cs.CY
paper · pdf · doi:10.1126/science.aaf2654
openalex publication_date 2013/01/01 · arxiv published 2015/10/12 · openalex created_date 2016/06/24 · arxiv updated 2016/07/04 · openalex updated_date 2026/06/20
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.