Organic and dynamic tool for use with knowledge base of Al ethics for promoting engineers' practice of ethical Al design

摘要

In recent years, ethical questions related to the development of artificial intelligence (Al) are being increasingly discussed. However, there has not been enough corresponding increase in the research and development associated with Al technology that incorporates with ethical discussion. We therefore implemented an organic and dynamic tool for use with knowledge base of Al ethics for engineers to promote engineers' practice of ethical Al design to realize further social values. Here, "organic" means that the tool deals with complex relationships among different Al ethics. "Dynamic" means that the tool dynamically adopts new issues and helps engineers think in their own contexts. Data in the knowledge base of the tool is standardized based on the ethical design theory that consists of an extension of the hierarchical representation of artifacts to understand ethical considerations from the perspective of engineering, and a description method to express the design ideas. In addition, we apply the dynamic knowledge management model called knowledge liquidization and crystallization. To discuss the effects, we introduce three cases: a case for the clarification of differences in the structures among Al ethics and design ideas, a case for the presentation of semantic distance among them, and a case for the recommendation of the scenario paths that allow engineers to seamlessly use Al ethics in their own contexts. We discuss the effectiveness of the tool. We also show the probability that engineers can reconstruct Al ethics as a more practical one with professional ethicists.