The Trolley, the Bull Bar, and Why Engineers Should Care About the Ethics of Autonomous Cars
By Jean‐François Bonnefon, Azim Shariff, Iyad Rahwan. 2019
73 citations recorded by the source corpus.
Everyone agrees that autonomous cars ought to save lives. Even if the cars do not live up to the most optimistic estimates of eliminating 90% of traffic fatalities [1] , eliminating at least some traffic fatalities is one of the key promises of automated driving. Indeed, the first two principles of the German Ethics Code for Automated and Connected Vehicles lead with this goal as a normative imperative [2] . The primary purpose of partly and fully automated transport systems is to improve safety for all road users. The licensing of automated systems is not justifiable unless it promises to produce at least a diminution in harm compared with human driving [ $\ldots $ ] .
Subfields: Artificial Intelligence, Cognitive Neuroscience, Safety Research
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Citations in the corpus
- Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward (2020, background): “In practice, the issue would be framed by the algorithm in terms of a statistical trolley dilemma in the words of Bonnefon et al. (2019), whereby the risk of harm for some road users will be increased.”