Resources & Books

Mina Lee is an Assistant Professor in the Computer Science and Data Science Institute at the University of Chicago. Her research examines the evolving relationship between people and AI, with a particular focus on writing, reading, and thinking with AI. She designs and evaluates AI systems, identifies opportunities and risks of AI-assisted writing, reading, and thinking, and measures AI's impact through user studies, controlled experiments, and surveys. Her work appears in both generalist journals (e.g., Nature Human Behavior) and top-tier conferences in HCI (e.g., CHI), NLP (e.g., ACL and NAACL), and machine learning (e.g., NeurIPS). In 2022, Mina was named one of MIT Technology Review's Korean Innovators under 35. Her work on human-AI collaborative writing received an Honorable Mention Award at CHI 2022 and was featured in various media outlets, including The Economist. She has co-founded and organized multiple workshops, including Intelligent and Interactive Writing Assistants (In2Writing), Human-centered Evaluation and Auditing of Language Models (HEAL), and Tools for Thought (TfT) at ACL and CHI. Outside academia, she writes for broader audiences: She authored How to Apply to Graduate Schools in the US (2017), and contributed chapters to The AI Asks, the Future Answers (2025) and AI Insiders — Future Reports from Global Top-Tier Experts (2025).

안건, 황민영, 김영현, 이활석, 박지혁, 홍창기, 설형욱, 문현지, 한승주, 이성민, 장영균, 문인태, 이동현, 노지혜, 김수현, 이민아, 장요엘, 유윤아, 오창환 지음 | 스마트북스 | 2025

김동원, 구아현, 유덕규 지음 | 황민수 기획 | 황금부엉이 | 2025