Seyun Kim
Hi! I’m a 4th year Ph.D. student in School of Computer Science HCII at Carnegie Mellon University advised by Motahhare Eslami and Haiyi Zhu.
My research goal is to understand how to operationalize values such as equity and fairness in data-driven technologies and artificial intelligence.
I aim to understand what embedding equity means in technology and surfacing different perceptions from various stakeholders, monitoring equity, and designing AI to create equitable outcomes .
I’ve investigated equity in the context of the public sector and currently exploring health equity in the context of breast cancer screening. My current project involves auditing equity and developing interventions to advancing equity in breast cancer predictive algorithms.
Previously, I received my Master of Science (M.S.) in Computer Science at Cornell University. 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
news
Aug 1, 2024 | Accepted first-author paper to CSCW 2024 |
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Jun 29, 2024 | Attending and presenting first author paper in CHIWORK Best Paper Award |
Sep 1, 2023 | Paper published in Computers in Human Behavior |
Apr 23, 2023 | Presenting work in CHI 2023 workshop: Designing Technology and Policy Simultaneously: Towards A Research Agenda and New Practice |
Apr 30, 2022 | First in-person conference and SV at New Orleans CHI 2022 |
publications and projects
- Current ProjectMonitoring, Integrating, and Advancing Equity in Breast Cancer Prediction Algorithms2024
- Under ReviewSystematic Literature Review on Equity in HCI and Fairness2024
- Public SectorIntegrating Equity in Public Sector Data-Driven Decision-Making2024
- Public SectorPublic Technologies Transforming Work of the Public and the Public Sector (Best Paper Award) https://dl.acm.org/doi/10.1145/3663384.3663407Symposium on Human-Computer Interaction for Work, 2024
- Fairness
- Eating DetectionEatingTrak :Detecting fine-grained eating moments in the wild using a wrist-mounted IMUProceedings of the ACM on Human-Computer Interaction, 2022
- WorkshopFairness and Transparency in Human-Robot InteractionIn 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022