Medicine, Health Care and Philosophy 23 (1):35-42 (2020)
AbstractIn this paper we focus on how automated vehicles can reduce the number of deaths and injuries in accident situations in order to protect public health. This is actually a problem not only of public health and ethics, but also of big data—not only in terms of all the different data that could be used to inform such decisions, but also in the sense of deciding how wide the scope of data should be. We identify three key different types of data, including basic data, advanced data and preference data, provide an ethical analysis of the use of these different types of data and of different ways of prioritizing between pedestrians and passengers, and propose four rules that can help set ethical priorities for ethical data use and decision making by automated vehicles.
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Citations of this work
Advance Car-Crash Planning: Shared Decision Making between Humans and Autonomous Vehicles.David M. Shaw & Christophe O. Schneble - 2021 - Science and Engineering Ethics 27 (6):1-9.
References found in this work
Responsibility for Crashes of Autonomous Vehicles: An Ethical Analysis.Alexander Hevelke & Julian Nida-Rümelin - 2015 - Science and Engineering Ethics 21 (3):619-630.
Self-Driving Cars and Engineering Ethics: The Need for a System Level Analysis.Jason Borenstein, Joseph R. Herkert & Keith W. Miller - 2019 - Science and Engineering Ethics 25 (2):383-398.