Privacy implications and liability issues of autonomous vehicles
Abstract
Autonomous vehicles have the potential for a variety of societal benefits. Individual mobility can be expanded to parties including the physically challenged, the elderly and the young. However, this article will consider two associated aspects of autonomous driving namely, privacy implications and issues of liability. Despite the many advantages of autonomous or connected vehicles, the downside in respect of privacy is that the ability to move about in relative anonymity will be lost. A secret rendezvous with a lover will be a thing of the past because the data bank associated with such vehicles will include information regarding exactly who is riding, where the passengers were picked up and dropped off, at what time and what route was taken. This information is a legitimate (and potentially very valuable!) business asset of the companies that own and operate autonomous vehicle fleets, who rely on such data to analyse how many vehicles are needed, in which locations and when they should be charged or re-fuelled, but the consequences on privacy (and the susceptibility of cyberattack) are tangible. Similarly, whilst another advantage of autonomous driving is that traffic accidents may be virtually eliminated, some people will nevertheless die or be injured in accidents involving autonomous vehicles. Therefore, in autonomous driving, a key question is that of liability and, specifically, where liability should reside in the event of such accident. This article considers how bes…
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AVs are expected to be operational both as private and as commercial vehicles.
“AVs are expected to be operational both as private and as commercial vehicle (Heinrichs, 2016; Collingwood, 2017; Wadud, 2017).”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Collingwood, 2017
Personal information privacy can be violated as AV will collect, store, use, own, transfer, or destroy data/information due to improper or nonexistent disclosure control.
“Personal information privacy can be violated as AV will collect, store, use, own, transfer, or destroy data/information due to improper or nonexistent disclosure control”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Collingwood, 2017
Use of AV inherently affect autonomy by taking over human control in the way people move one place to another.
“Use of AV inherently affect autonomy by taking over human control in the way people move one place to another”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Collingwood, 2017
Cited by
Sorted by citations
Taeihagh, A., & Lim, H. S. M. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1494640 · Cited by 601 · see citing works
Faisal, A., Yigitcanlar, T., Kamruzzaman, M., & Currie, G. (2019) · Journal of Transport and Land Use · doi:10.5198/jtlu.2019.1405 · Cited by 427 · see citing works
“AVs are expected to be operational both as private and as commercial vehicle (Heinrichs, 2016; Collingwood, 2017; Wadud, 2017).”
BackgroundThe Interface of Privacy and Data Security in Automated City Shuttles: The GDPR Analysis
Benyahya, M., Kechagia, S., Collen, A., & Nijdam, N. A. (2022) · Applied Sciences · doi:10.3390/app12094413 · Cited by 20 · see citing works
- Authors
- Collingwood, L.
- Affiliations
- Kingston University London (GB)
- Corresponding author
- Collingwood, Lisa
- Venue
- Information & Communications Technology Law
- Publisher
- Informa UK Limited
- Published
- 2017-01-02
- Volume
- 26
- Issue
- 1
- Pages
- 32-45
- ISSN
- 1360-0834 (ISSN-L)
- 1469-8404
- OpenAlex
- W2567760986
- Cited by
- 129
- References
- 0
- Citations by year
- 2026: 9 · 2025: 23 · 2024: 16 · 2023: 18 · 2022: 26 · 2021: 16 · 2020: 13 · 2019: 4 · 2018: 4
- FWCI
- 59.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information & Communications Technology Law (publishedVersion)
- Research Repository (Kingston University London) (acceptedVersion)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- autonomous vehicles, privacy, liability, connected vehicles, cyberattack vulnerability, traffic accidents, autonomous vehicle fleets
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