He is an interdisciplinary researcher in Information Systems and Human–AI Collaboration, with expertise in responsible AI, AI literacy and education, sociotechnical systems design, and research data management. Currently a Research Associate and Data Steward at Hamburg University of Technology (TUHH) and a PhD candidate at the University of Hamburg, their research focuses on warranted reliance on AI, explainable and trustworthy AI, human–AI interaction, and Design Science Research. They have extensive experience in curriculum development, university–industry collaboration, and FAIR-compliant data governance across large interdisciplinary research projects. Their work bridges technological innovation, education, and governance to support the responsible and human-centered design of AI-enabled systems.

Titel:  Negotiating Ethical Coexistence with AI: A Grounded Theory of Japanese Students’ Conditional Trust, Agency, and the Development of Critical AI Literacy   Abstract: Generative Artificial Intelligence (GenAI) is increasingly reshaping how students learn, reason, and create, raising pressing questions about agency, trust, and moral responsibility. While information systems (IS) research has emphasized organizational governance and design ethics, less is known about how students develop ethical awareness in everyday AI use. This study applies a systematic grounded theory lens to a mixed-format survey of 69 Japanese university students. We develop a process model of how students negotiate ethical coexistence with GenAI. The analysis identifies an iterative moral trajectory, from recognition of power and risk to ethical anxiety, reflexive evaluation, and conditional trust. We capture this process in the grounded model Negotiating Ethical Coexistence with AI (NECoAI). NECoAI conceptualizes ethical learning as an ongoing process of moral calibration rather than a static belief or competence. The findings extend responsible AI research in IS by centering ethical sensemaking in use and emphasizing reflective, human-centered AI education.