Mina Lee (이민아 · 李旼雅)
Assistant Professor, Computer Science & Data Science Institute,
University of Chicago
Email mnlee@cs.uchicago.edu
Office DSI 317
I lead the AI & Me group at UChicago, studying how AI is changing the way we write, read, and think. My research combines AI system design, user studies, controlled experiments, and log analyses to address questions at the intersection of technology and human values.
Trajectory
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University of Chicago Assistant Professor -
Microsoft Research Postdoctoral Researcher -
Stanford University Ph.D., Computer Science -
Korea University B.S., Computer Science
Recent News
- 2026 Award Writing with AI Can Reduce Gender Bias in Hiring Evaluations received Best Paper Award at CHI 2026.
- 2026 Paper What Influences Readers' and Writers' Perceived Necessity of AI Disclosure? accepted at FAccT 2026.
- 2026 Paper Combining Structured Tasks and Behavioral Logs for Measuring AI's Impact on Cognition accepted at the CHI 2026 Workshop on Tools for Thought.
- 2026 Paper Four papers accepted at CHI 2026: (1) Writing with AI Can Reduce Gender Bias in Hiring Evaluations, (2) What Does AI Do for Cultural Interpretation? A Randomized Experiment on Close Reading Poems with Exposure to AI Interpretation, (3) Investigating the Effects of AI Use on Critical Thinking Under Time Constraints, and (4) “Helping Me Versus Doing It for Me”: Designing for Agency in LLM-Infused Writing Tools for Science Journalism.
- 2026 Media Presented our work on deliberately building friction into AI interactions at UChicago AI Initiative Campus Event.
Selected Publications
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What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?FAccT 2026
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Investigating the Effects of AI Use on Critical Thinking Under Time Constraints: AI Access Timing and Time AvailabilityCHI 2026
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Writing with AI Can Reduce Gender Bias in Hiring EvaluationsCHI 2026
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