Host: The Japanese Society for Artificial Intelligence
Name : The 32nd Annual Conference of the Japanese Society for Artificial Intelligence, 2018
Number : 32
Location : [in Japanese]
Date : June 05, 2018 - June 08, 2018
Although the importance of AI ethics has been increasingly recognized, it is hard to say that the results of the discussion is incorporated into research and development of AI technologies, so there is a gap between them. In this research, we provide an organic and dynamic AI ethics library with the aim of resolving this gap by supporting the practice of ethical design by AI engineers. Here, organic means that it deals with complex relations among different AI ethics discourses. And dynamic means that, in interaction with users, it dynamically adopts new issues and helps users think in their own contexts. For example, AI ethics library visualizes a structure of each AI ethics discourse in the standard form, presents the distance and relationships among the discourses, and seamlessly connects them on the extension of AI technologies. Furthermore, AI ethics library is expected that the AI ethics side can also be reconstructed as a more practical one through the practices. In this paper, with clarifying the framework of AI ethics by applying the ethical design theory, we introduce the overview and cases of the AI ethics library and evaluate its effects.