VERDI (trust in digitalisation in the context of [semi-]autonomous driving and advanced driver-assistance systems)
Due to ongoing digitalisation and automatisation, the introduction of progressively complex systems constitutes challenges of their adoption and adequate use, inevitable raising questions about a systems trustworthiness and its ability to respect and reflect European fundamental rights and values. An example of this development plays the introduction of highly automated cars on public streets, with the potential to introduce further complexity into the driver-vehicle interaction and therefore bringing up considerations about legal liability, safety or privacy. By building on the preparatory work of its Styrian research partners (University of Graz and the research and development centre Virtual Vehicle) in two EU projects (TRUESSEC and SCOTT), VERDI aims to investigate trust and trustworthiness towards highly automated driving systems (SAE Lv. 3) from a multidisciplinary perspective, including law, ethics, psychology and sociology.
Trust is a central concept for the adequate use of automated systems: Inappropriate trust (“over-trust“) can lead to a system’s misuse or abuse, too little trust (”under-trust“) to its rejection, i.e. non-use. The expected benefits of highly automated driving systems can only manifest if users (as well as all other road users involved) encounter automation with a degree of "calibrated trust", thus know the limits of the system’s functions and in which situations it is appropriate to trust it.
VERDI will therefore provide an interdisciplinary criteria catalogue for the trustworthiness of highly automated vehicles based on the European fundamental rights and along the lines of seven core areas, adopted from the preceding projects: transparency, privacy, anti-discrimination, autonomy, respect, protection and functionality. These findings will be used to contribute to future standardization and certification processes. It will furthermore develop a reliable assessment of trust on multiple levels in order to support the effective evaluation of future systems
Univ.-Prof. Dr. Elisabeth StaudeggerInstitute of the Foundations of Law
Universitätsstraße 15 B/E