Trustworthy Autonomous Systems and Socio-Technical Innovation in Data Protection by Design and Default (DPbDD)

Cyber-physical systems such as robots, intelligent buildings, implantable medical devices or cars that drive themselves, are increasingly intelligent and autonomous and rely on automated data processing that often implicates identified or potentially identifiable people. These systems are legally required to build in Data Protection by Design and Default (DPbDD).

However, implementing DPbDD is challenging in a context where cyber-physical systems are embedded in a distributed ecology characterised by devices situated within interpersonal social networks  and heterogenous third-party actors having differentiated data processing requirements.

This project aims to develop a socio-technical framework in collaboration with the Information Commissioner’s Office (ICO) and Connected Places Catapult to enable the implementation of DPbDD principles in a real-world context.

Project kick off video

Trustworthy Autonomous Systems and Socio-Technical Innovation in Data Protection by Design and Default (DPbDD)

This project is funded by the TAS Hub.