Generative AI in Auto Driving Dilemmas

This current research aimed to investigate the discrepancies in moral judgments between generative AI chatbots and humans in the context of auto driving dilemmas. Through experiments, the study compares the moral judgments and purchase intentions of humans and chatbots regarding auto driving behaviors. The data show that the behavioral orientation of auto vehicles has a significant impact. Compared to deontological-oriented auto vehicles, participants give lower moral blame to utilitarian-oriented ones, consider them to have a smaller degree of wrong, and have a higher level of acceptance. At the same time, the moral blame and wrong ratings received by AI in both utilitarian and deontological scenarios are significantly lower than those of adults, while the moral acceptance rating it obtains is significantly higher. However, in terms of purchase intention, there is no significant difference in the willingness to purchase auto vehicles with either utilitarian or deontological orientations. The findings of this study are of great significance for the design of the decision-making system of auto vehicles, understanding the public's expectations, and promoting the development and application of auto driving technology.