Automotive Safety and Security Research Group continued the investigation of highly automated vehicles’ expected safety effect. According to our predictions, the role of the human factor in the driving processes is expected to decrease continuously. At the same time, based on the global automotive processes, the role of computer-supported decision systems and artificial intelligence (AI)-based control solutions increases in relation to driving processes, which carries a significant safety-enhancing potential. To assess the possible social benefits of automated vehicle systems objectively, we analysed the possible negative effects in detail as well. Accordingly, we published our research results (Török, 2023) in the prestigious IEEE Transactions on Intelligent Transportation Systems journal. In the research a statistical survey of crashes involving automated vehicles were performed in order to identify and evaluate the most relevant crash factors. The analysed data showed that when the autopilot mode was turned off and the human driver made the control decisions, the severity of crashes on straight roads was greater at α=0.1 significance level than when the vehicle was in autopilot mode and the vehicle system made the control decisions. In addition, if the α significance level is 0.2, then crashes on plain terrain, during the day, or in the speed range of 80–100 km/h are generally less serious for vehicles driven in autopilot mode than for vehicles with autopilot mode turned off. It is important to emphasize that this paper investigates only crash severity given occurrence but not the probability of occurrence itself.