The problem of allocating accident responsibility for autonomous driving is a difficult issue in the field of autonomous driving. Due to the complexity of autonomous driving technology, most of the research on the responsibility of autonomous driving accidents has remained at the theoretical level. When encountering actual autonomous driving accidents, a proven and fair solution is needed. To address this problem, this study proposes a multi-subject responsibility allocation optimization method based on the RCModel (Risk Chain Model), which analyzes the responsibility of each actor from a technical perspective and promotes a more reasonable and fair allocation of responsibility.

In recent news, AI didn't come off very well. Companies like IBM or Microsoft just announced that they will end the sales of facial recognition technology, one area of AI, with immediate effect. The real-life implications might be devastating: Whereas the technology might be well-trained to identify white faces, it fails to differentiate black faces. When used by law enforcement, this could lead to false accusations for People of Color. Critical press coverage, intransparency and unethical business practices have led to distrust regarding emerging technologies around the world.