Automated vehicles, big data and public health

David Shaw*, Bernard Favrat, Bernice Elger

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Web of Science)

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.

Original languageEnglish
Pages (from-to)35-42
Number of pages8
JournalMedicine Health Care and Philosophy
Volume23
Issue number1
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Autonomous cars
  • Big data
  • Public health
  • Ethics

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