Automated vehicles, big data and public health.

Details

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State: Public
Version: Final published version
License: All rights reserved
Serval ID
serval:BIB_52A1B228C55C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Automated vehicles, big data and public health.
Journal
Medicine, health care, and philosophy
Author(s)
Shaw D., Favrat B., Elger B.
ISSN
1572-8633 (Electronic)
ISSN-L
1386-7423
Publication state
Published
Issued date
03/2020
Peer-reviewed
Oui
Volume
23
Number
1
Pages
35-42
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
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.
Keywords
Accidents, Traffic/prevention & control, Age Factors, Algorithms, Automobiles, Big Data, Cognitive Dysfunction/epidemiology, Decision Making, Humans, Mobility Limitation, Pedestrians, Public Health, Sex Factors, Vehicle Emissions/analysis, Autonomous cars, Big data, Ethics, Public health
Pubmed
Web of science
Open Access
Yes
Create date
14/05/2019 12:48
Last modification date
02/09/2021 5:40
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