Shaw, David and Favrat, Bernard and Elger, Bernice. (2019) Automated vehicles, big data and public health. Medicine, health care, and philosophy. pp. 1-8.
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Official URL: https://edoc.unibas.ch/74100/
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Abstract
In 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.
Faculties and Departments: | 08 Cross-disciplinary Subjects > Ethik > Institut für Bio- und Medizinethik > Bio- und Medizinethik (Elger) 03 Faculty of Medicine > Departement Public Health > Ethik in der Medizin > Bio- und Medizinethik (Elger) |
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UniBasel Contributors: | Shaw, David and Elger, Bernice Simone |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Springer |
ISSN: | 1386-7423 |
e-ISSN: | 1572-8633 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Identification Number: |
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Last Modified: | 21 Jan 2020 16:36 |
Deposited On: | 21 Jan 2020 16:36 |
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