Yu-Ju (Marisa) Yang

I am a third-year PhD student in Information Sciences at the University of Illinois Urbana-Champaign, advised by Dr. Madelyn Rose Sanfilippo. I have a master's degree in Public Policy Management from Carnegie Mellon University and a bachelor's in Political Science (International Relations) and Library and Information Science from National Taiwan University.
My research interests are broadly in the sociotechnical governance of technology, AI governance, and responsible AI. I study and build responsible AI artifacts, including but not limited to tools, taxonomies, and frameworks, and I am interested in how different artifacts are designed and approached, and how they bridge (or fail to bridge) the gap between AI principles and practice. I am also interested in AI-driven political harm in democratic and authoritarian regimes.
Feel free to reach out if you're interested. I'm happy to chat. Contact me at yuju2@illinois.edu.
Yu-Ju Yang

Selected Publications

Hao-Ping Lee, Yu-Ju Yang*, Matthew Bilik*, Isadora Krsek*, Thomas Serban von Davier, Kyzyl Monteiro, Jason Lin, Shivani Agarwal, Jodi Forlizzi, Sauvik Das. (2026).
Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts.
In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '26). Honorable Mention
Wei Jeng, Yu-Ju Yang, Hong-Chun Chen, Yi-Jie Yang, Yi-Ru Shih. (2025).
Boundary Negotiating Artifacts to Envision the Desired Research Data Infrastructure toward Reproducibility in Data-Intensive Science.
Computer Supported Cooperative Work.
Hao-Ping (Hank) Lee, Yu-Ju Yang, Thomas Serban von Davier, Jodi Forlizzi, Sauvik Das. (2024).
Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks.
In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24). 🏆 Best Paper Award
Yu-Ju Yang, Li-Fei Kung, Wei Jeng. (2023).
"Design, Design, and Design Again": An Information-Architecture Redesign Workflow from Case Studies of a Government Portal and a Learning-Management System.
Lecture Notes in Computer Science, vol 13972. Springer, Cham (iConference '23).
Yu-Wen Huang, Yu-Ju Yang, Wei Jeng. (2022).
User Perception and Eye Movement on A Pandemic Data Visualization Dashboard.
Proceedings of the Association for Information Science and Technology (AS&IST '22).