Kayoon Kim

Bio

My research vision is to ensure humanity benefits from AI and algorithms that facilitate interactions between people and systems in everyday life. To achieve this goal, I focus on (1) characterizing problems and developing data-driven solutions, and (2) enhancing human decision-making while preventing marginalization through algorithms and design. My research interests are the Human-AI/Vehicle Interaction, Decision-making, and Computational Social Science.

Previously, I was a research intern at Bosch Center for Artificial Intelligence (BCAI). I also worked as a research assistant at the Methods Center at the University of Tübingen. I studied Sociology and Computer Science during my bachelor's degree, which laid the foundation for my interdisciplinary research. I worked on exciting projects at HIKE Lab, Da Move Lab, and CAU Data Science Lab.