Extraction and Discussion of Influencing Factors in Self-driving Ethical Decision

Abstract

Abstract At present, many scholars found many influencing factors in self-driving ethical decision by the way of questionnaire and theoretical researches. However, the important influencing factors can’t still be extracted and determined in self-driving ethical decision, which is not conducive to construct decision model and framework in moral dilemmas and causes information overlap and interference by multi-variable and multi-collinearity. Therefore, it is necessary to extract a few important factors from these influencing factors in self-driving ethical decision. 116 normal dilemmas and 10 comparative dilemmas, in which there are only two influencing factors to be compared, are designed to be surveyed in this paper. According to the probability of the straight choosing as protector, the comparative result and location in decision tree model, the importance is determined in self-driving ethical decision, then a few important influencing factors are extracted and determined in self-driving ethical decision. Eventually, these factors of species, harm, traffic laws, number, age and self-interests are regard as the important influencing factors in self-driving ethical decision, which provide a few theoretical guidance to construct and design model and framework in self-driving ethical decision for car manufactures. Furthermore, they provide a few references to formulate traffic laws and regulations related to self-driving technology for traffic management authentication.