An Analysis of Opinions on AI Ethics Based on Network Motifs using the Case Method

Abstract

The development of artificial intelligence (AI) technologies has led to significant impacts on society. Simultaneously, the ethical issues involved in AI have become increasingly serious, and AI ethics has attracted attention as a topic of active research and discussion. Education in ethics is widely understood to play a crucial role in solving these emerging issues. In this study, we propose a model developed to address some ethical issues of AI based on the case method using network motifs to analyze educational consequences. We evaluated the method in terms of a network analysis of textual data of opinions to understand the changes in participants' perspectives before and after their experience with the case method. The experimental results validated the method we proposed, and the results of the analysis show that the participants’ opinions on the ethics of AI changed to some extent after participating in the case.