Responsible AI – let’s make driving boring again

Authored by the Responsible AI for Long-term Trustworthy Autonomous Systems (RAILS) project team August 2022         The RAILS project – Responsible AI for Long-term Trustworthy Autonomous Systems –  is focused on questions of responsibility and how these are understood, mapped, and experienced within the domain of autonomous vehicles. This focus is particularly […]

Hack me if you can: are drivers keen to use automated vehicles when exposed to cyberattacks?

January 2022: A project blog for Understanding user trust after software malfunctions and cyber intrusions of digital displays: a use case of automated automotive systems If you were to use an automated car capable of handling its acceleration, deceleration and direction (also known as level 3), what would you do if it was hacked? This is […]

“Accidents will happen” – so let’s learn from them

RoAD research project blog authored by: Carolyn Ten Holter, University of Oxford When developing new technologies such as autonomous vehicles (AVs), there will inevitably be situations where despite the maximum care being taken, accidents happen. These might happen in a variety of situations, but accidents involving autonomous vehicles are likely to be different from those […]