Data-Driven. Privacy, Surveillance, Manipulation

Abstract

The chapter focuses the attention on issues raised by CAVs as data gathering and communication devices. Collecting and sharing more and more data on automated driving sessions is key to almost all stakeholders seating at the transportation table. Different interests push parties to acquire or request access to data gathered through CAVs. The resulting landscape is extremely composited. The chapter sketches a preliminary outline of the driving automation data landscape and, on its basis, elaborates on the notion of privacy in this particular context, its ethical profile, and the main risks from both a philosophical and legal perspective. Moreover, it discusses two case studies to show how privacy risks connected to driving automation might not at all be implausible and overviews propositions on how to tackle privacy issues on the design, regulatory, and educational levels. The discussion on privacy shows with particular clarity how important it is for the philosophy of artificial agency not to over-rely on similarities between human and artificial agents. Conversely, it is critical to thoroughly trace the tracks of difference and follow its lead.