Journal ArticleTeaching the Ethics of AI and Robotics to Graduate Students: A Cross-Disciplinary and Cross-Cultural ApproachGuler, Beyza Nur; Sun, Yixiang Shawn; Shiekh, Kylee; Cao, Yi; Ausman, Michelle; Padilla, Vladimir Sanchez; Asad, Talha Bin; Zhu, QinPhilosophy_Documentation_CenterAs artificial intelligence and robotics are increasingly integrated in graduate research and education, graduate students across disciplines need to develop a “technological literacy” in how they work along with the ethical understanding needed to navigate these technologies responsibly. To satisfy this need, the corresponding and last author has developed a graduate-level course on AI ethics and human-robot interaction (HRI) designed for students from a variety of disciplines and backgrounds. The paper offers an overview of the course, detailing its content, institutional context, and the rationale behind its development. It describes the curriculum structure, including key themes and learning objectives, and the pedagogical approaches and assessment methods utilized in the course. The paper concludes with reflections from the instructor on the lessons learned from teaching the course and the experiences gained throughout the learning process.PDC2025-07-2310631928Teaching Ethics242305 to 3211544-4031https://doi.org/10.5840/tej20257221642418848; 2418867National Science Foundation