Driven by the Data: A Scenario Analysis Approach to Data Security and Autonomous Vehicles

• In Event: Autonomous Vehicles - II: Visions and Imaginaries for Autonomous Systems

Abstract

The burgeoning field of autonomous vehicle systems have promoted promises of innovation in transportation and mobility. Vehicles with increasing levels of connectivity and automation are rapidly developed and pushed to the market each year. As vehicles continue to integrate autonomous technologies, it becomes necessary to critically interrogate the implications of the prodigious amount of data that such systems collect and analyze as they operate. Thus, as it is evident, the deployment of autonomous vehicles is inevitable and will raise concerns about surveillance, data security, and privacy. This paper investigates the vulnerabilities of autonomous vehicle systems and aims to examine the future of data security in a world where autonomous vehicles are a commonplace artifact of society. The paper explores such futures through a scenario analysis framework, in which plausible future scenarios are developed and anticipatory governance can be implemented to address issues within each scenario.

Author

• Samuel Kodua, James Madison University