In recent years, ethical questions related to the development of artificial intelligence are being increasingly discussed. However, there has not been enough corresponding increase in the research and development associated with AI technology that incorporates with ethical discussion. We therefore implemented an organic and dynamic tool for use with knowledge base of AI ethics for engineers to promote engineers’ practice of ethical AI design to realize further social values. Here, “organic” means that the tool deals with complex relationships among different (...) AI 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 AI 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 AI ethics in their own contexts. We discuss the effectiveness of the tool. We also show the probability that engineers can reconstruct AI ethics as a more practical one with professional ethicists. (shrink)

Ethical aspects in engineering design have become increasingly important in recent years. A typical example is the recent rise of artificial intelligence ethics. This paper applies user studies of a design support tool to empirically verify that our ethical framework improves the creativity of an engineer’s design activity. The design support tool provides an environment for the promotion of ethical design perspectives and description. The experiments focus on two functionalities: semi-automatic generation and scenario path recommendation. These functions are designed around (...) the application of ethical design theory, which extends the hierarchical representation of artifacts. Doing this enables users to reconsider their themes at the highest level of the hierarchy and to apply a wider conceptual space of design solutions. For example, by reconsidering the positions of their research themes in the space of the representation field, users can semi-automatically edit them and identify focal areas. Using the scenario path recommendation, designers can update their research themes after considering the ethical impacts of those themes on stakeholders. Both functions are realized by exploiting a knowledge base of ethical and technological discourses. Finally, the ethical design theory is updated based on some unexpected results of our user studies with regards to the cyclic relationship among theory, tools, and observed data. For example, temporal dimensional aspects were confirmed as important. (shrink)

Through an analysis of university students’ job-hunting logs, we have found that their introspection via rereading their log sometimes helps them discover themselves. Then we have built a system called PLASIU designed to support job-hunter’s creative decision-making based on the observations from their actual job-hunting process. This paper provides an overview of PLASIU and describes the findings from a user study using PLASIU.

This study addresses building an interactive system that effectively prompts customers to make their decision while shopping online. It is especially targeted at purchasing as concept articulation where customers initially have a vague concept of what they want and then gradually clarify it in the course of interaction, which has not been covered by traditional online shopping systems. This paper proposes information presentation methods to effectively facilitate customers in their concept articulation process, and the framework for interaction design to enable (...) the methods. Specifically, this study builds a system called S-Conart that facilitates purchasing as concept articulation through support for customer’s conception with spatial-arrangement style information presentation and for their conviction with scene information presentation, and then makes a set of evaluation experiments with the system to verify that the approach used in building the system is effective in facilitating the purchasing as concept articulation. (shrink)