Seyun Kim
Hi! I'm a 5th year Ph.D. candidate in School of Computer Science Human-Computer Interaction Institute at Carnegie Mellon University advised by Motahhare Eslami and Haiyi Zhu .
I study how to bridge the gap between AI technical capabilities and stakeholders’ needs , with particular attention to tensions and trade-offs between competing values that shape how AI is designed, deployed, and evaluated. I have led empirical, design, and framework/system-building studies on trust, transparency, and responsible AI across high-stakes domains including public sector and healthcare.
My work spans the full AI development cycle from problem formulation to post-deployment: I conduct empirical studies that surface where AI capabilities and stakeholder needs diverge, employ design methods to elicit nuanced needs, and translate findings into frameworks and full-stack AI prototypes that directly support stakeholders. My work has been funded by Google Academic Research Awards (Society-Centered AI) , National Science Foundation, CMU Block Center for Technology and Society.
I have closely collaborated with clinicians from Mayo Clinic, UW Medicine, Boston Medical Center, as well as public sector agencies in the City of Pittsburgh. I interned at Microsoft Research Asia (MSRA) as a Ph.D. Research Intern mentored by Yun Wang .
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.
As of 2026, I am currently in the academic and industry job market.
seyunkim[at]cs.cmu.edu | Google Scholar | LinkedIn | CV | Resume
News
April 2026 Passed Thesis Proposal; Officially a Ph.D. Candidate
Jan 2026 Area Chair for ACM Conference on Fairness, Accountability, and Transparency (FAccT)
Jan 2026 Completed Ph.D. research internship with Dr. Yun Wang MSRA
Jan 2026 Presented at MSRA and HKUST, CityU HK workshop
Oct 2025 CSCW 2025: Attending CSCW 2025 in person (Norway) to present my first-author paper
Sep 2025 Started Internship at Microsoft Research Asia as a Ph.D. research intern working on Agentic AI and Healthcare
June 2025 Co-Organized Workshop on AI attribution and Disclosure in CHIWORK 2025
May 2025 Gave a research talk at Seoul National University Communication department lab on my recent AI and Breast Cancer Work
May 2025 Attending CHI 2025 in Yokohama Japan
Nov 2024 Co-Organized Workshop on Work Data Collectives at CSCW 2024
Nov 2024 CSCW 2024: Attending CSCW 2024 in person (Costa Rica) to present my first-author paper
June 2024 Received Best Paper Award : CHIWORK 2024 (UK) for my first first-author paper
Nov 2023 Attended The Future of Research on Social Technologies CCC Workshop as one of very few Ph.D. students
May 2022 Attending my first in-person conference at CHI 2022 in New Orleans, LA
August 2021 Ph.D. at Carnegie Mellon University started!!!
On-Going Project
[Updated 2026 Feb]
I am currently interested in multi-agent and human interactions in clinical decision-making, particularly focusing on how patients can make informed clinical decisions.
In parallel, I have been recently engaging with the question of how to measure multi-agent performance, particularly by creating evaluation metrics that are human-centered.
However, broadly, my current question is how can multi-agents be evaluated?
I would love to connect with folks who have similar interests or questions.
Research Publications
- Surfacing Design Tensions and Opportunities for AI-Mediated Pre-diagnostic Risk Communication for Breast Cancer Care Seyun Kim, Katelyn Morrison, Haiyi Zhu, Motahhare Eslami along with medical and research collaborators Accepted DIS 2026 Preprint coming
- 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)