Seyun Kim

Hi! I'm a 5th year Ph.D. student in School of Computer Science Human-Computer Interaction Institute at Carnegie Mellon University advised by Motahhare Eslami and Haiyi Zhu.
I design and develop AI systems for high-stakes domains such as healthcare and the public sector, with a focus on integrating human values into data-driven technologies. My research explores how values are understood by diverse stakeholders and how they can be meaningfully embedded into the design and deployment of AI.

Currently I'm working in the healthcare domain , particularly in the context of breast cancer risk prediction tools. My work focuses on surfacing patient and clinicians' needs and developing AI systems to address them. I'm investigating AI agents (e.g., conversational agents) that support communication across clinicians and patients for preventative care.

Previously, I received my Master of Science (M.S.) in Computer Science at Cornell University. Through my research-oriented masters program, I was advised by Malte Jung and Susan Fussell . I received my B.S. at Cornell University majoring in Computer Science and minoring in Information Science.

My email is seyunkim[at]cs.cmu.edu
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News

Research Publications

• A Systematic Literature Review on Equity and Technology in HCI and Fairness: Navigating the Complexities and Nuances of Equity Research
  Seyun Kim , Yuanchen Bai, Haiyi Zhu, Motahhare Eslami. ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2025)


• Integrating Equity in Public Sector Data-Driven Decision Making: Exploring the Desired Futures of Underserved Stakeholders
  Seyun Kim , Jonathan Ho* , Yinan Li*, Bonnie Fan, Willa Yang, Sarah Fox, Jessie Ramey, Haiyi Zhu, John Zimmerman, Motahhare Eslami ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 2024)


• Public Technologies Transforming Work of the Public and the Public Sector.
  Seyun Kim , Bonnie Fan, Willa Yunqi Yang, Jessie Ramey, Sarah E Fox, Haiyi Zhu, John Zimmerman, and Motahhare Eslami. In Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work (CHIWORK 2024)


• The Social Consequences of Machine Allocation Behavior: Fairness, Interpersonal Perceptions and Performance.
  Houston Claure, Seyun Kim , René F. Kizilcec, and Malte Jung Computers in Human Behavior 146 (2023)


• EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU
  Ruidong Zhang, Jihai Zhang, Nitish Gade, Peng Cao, Seyun Kim , Junchi Yan, and Cheng Zhang Proceedings of the ACM on Human-Computer Interaction 6, no. MHCI (2022)

Workshop

• Navigating Generative AI Disclosure, Ownership, and Accountability in Co-Creative Domains
  Hyo Jin Do, Molly Q Feldman, Jessica He, Angel Hsing-Chi Hwang, Seyun Kim Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work (CHIWORK 2025)


• Worker Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities
  Jane Hsieh, Angie Zhang, Seyun Kim , Varun Nagaraj Rao, Samantha Dalal, Alexandra Mateescu, Rafael Do Nascimento Grohmann, Motahhare Eslami, Min Kyung Lee, and Haiyi Zhu. In Companion of the 2024 Computer-Supported Cooperative Work and Social Computing (CSCW Companion ’24)


• Fairness and Transparency in Human-Robot Interaction
  Houston Claure, Mai Lee Chang, Seyun Kim , Daniel Omeiza, Martim Brandao, Min Kyung Lee, and Malte Jung In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022)