A Privacy Code Practice for the Connected Car
Faculty of Business and IT, Ontario Technology University
This project developed a privacy code of practice for connected and automated vehicles (CAVs). The research team outlined the specific types of data generated by CAVs and categorized this data in relation to its sensitivity. Location data for example has a greater degree of sensitivity compared to vehicle health data. Having a sense of the sensitivity associated with data provides insight into the types of privacy safeguards that will be required when such data is collected used and disclosed.
Although the code does not have legal effect, it serves to explore meaningfully the substantive merits of specific data handling practices in the CAV sector. This is important since CAV technologies are evolving rapidly, in ways that are difficult to anticipate. This code is aimed at providing advisory guidance as opposed to endorsing legal compliance with Canadian privacy law, specifically PIPEDA.
Project deliverables are available in the following language(s):
OPC Funded Project
This project received funding support through the Office of the Privacy Commissioner of Canada’s Contributions Program. The opinions expressed in the summary and report(s) are those of the authors and do not necessarily reflect those of the Office of the Privacy Commissioner of Canada. Summaries have been provided by the project authors. Please note that the projects appear in their language of origin.
Faculty of Business and Information Technology
Ontario Technology University
2000 Simcoe Street North
E-mail: Rajen Akalu
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