معرفی
Min Kyung Lee is an Assistant Professor in the School of Information at the University of Texas at Austin. Her work focuses on the social implications of algorithms in management, governance, and human-robot interaction. She holds a PhD and MDes in Human-Computer Interaction from Carnegie Mellon University (CMU), along with a BS from KAIST. Her research bridges Human-Centered AI, participatory design, and algorithmic fairness, addressing challenges in gig work, public policy, and healthcare.
Education:
- PhD in Human-Computer Interaction, Carnegie Mellon University
- MDes in Interaction Design, Carnegie Mellon University
- Bachelor of Science, Korea Advanced Institute of Science and Technology (KAIST)
Research Interests: Dr. Lee explores how algorithms shape labor practices, public trust, and societal equity. Her work emphasizes participatory frameworks for designing AI systems with marginalized communities, such as gig workers and underserved populations. She has developed tools like the AI-DEC for explainable AI and data probes for policy alignment. Her recent projects include Gig2Gether, which empowers workers through collective data-sharing, and Proxona, an LLM-based tool for creator communities.
Awards & Recognition:
- Siebel Scholar
- Allen Newell Award for Research Excellence
- Five Best Paper Awards (CHI, CSCW, DIS, HRI)
- NSF & Uptake Research Grants
Teaching & Grants: She teaches courses on Human-AI Interaction and User Experience Design. Her grants include NSF awards for participatory AI design and Uptake funding for gig worker data initiatives. She advises on AI ethics, policy, and labor rights through collaborative projects with policymakers and community stakeholders.
Labs & Impact: Her research has been featured in the New York Times, MIT Technology Review, and CBS. She co-leads projects on algorithmic fairness, worker empowerment, and smart city governance, emphasizing real-world applications of human-centered AI principles.
