This course is grounded in Science, Technology, and Society studies (STS) and aims to explore issues surrounding the development, dissemination, and application of technology through case studies involving scientists, engineers, businesses, governments, the public, and users. We approach this from an STS perspective, emphasizing that technology and society are not merely bodies of knowledge but rather diverse approaches and perspectives towards technology. Consequently, the course adopts an open attitude to guide students in reflecting on the relationships between technology, society, and the individual, with a particular focus on the political nature of technology-society relations and the invisible actors within societal structures.

To achieve this goal, the course employs the practice and teaching methods of "institutional analysis," guiding students in dissecting various phenomena and engaging in practical exercises of data collection and analysis. The course aims to integrate students from diverse backgrounds, encouraging them to draw from their professional and life experiences to develop their abilities to explore and critically reflect on technological development.

Additionally, we introduce ChatGPT as a collaborative tool in the course to enhance students' awareness and capabilities regarding current developments in artificial intelligence. We anticipate that these processes will enable students to become "techno-social individuals" with holistic perspectives and multidimensional thinking abilities.

This semester, we extensively conduct institutional analysis, enabling students to derive rich learning outcomes. Furthermore, by incorporating AI assistants into the course, we aim to expand students' learning and thinking horizons, fostering more discussions and generating additional learning outcomes.