Data privacy and automated vehicles: Navigating the privacy continuum

Australia's information privacy framework fails to protect personal information contained within data generated by automated vehicles. Automated vehicles will increasingly store, share and broadcast data about the vehicle (and by implication the occupants) with rising levels of automation. Usin...

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Bibliographic Details
Published inMonash University law review Vol. 45; no. 3; pp. 589 - 625
Main Author Brady, Mark
Format Journal Article
LanguageEnglish
Published Monash University (Australia) 01.12.2019
Subjects
Access control
Australian Law Reform Commission
Automated vehicles
Autonomous vehicles
Data processing
Data security
Electronic records
Information management
Law and legislation
Laws, regulations and rules
Management
Privacy, Right of
Right of privacy
Safety and security measures
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Summary:Australia's information privacy framework fails to protect personal information contained within data generated by automated vehicles. Automated vehicles will increasingly store, share and broadcast data about the vehicle (and by implication the occupants) with rising levels of automation. Using data mining techniques, personal information contained within disparate data streams can be compiled to allow profiling of individuals to a high degree. Following the recent decision in 'Privacy Commissioner v Telstra Corporation Ltd' ('Telstra) Australian law does not recognise personal information unless contained within a single data stream and remains silent on how to identify personal information within data having multiple subject matters. This article argues that, post-Telstra, the privacy framework will not safeguard personal information contained within data produced by automated land vehicles.
Bibliography:Informit, Melbourne (Vic)
MONASH UNIVERSITY LAW REVIEW, Vol. 45, No. 3, 2019, 589-625
ISSN:0311-3140