Mina Lee "Writing with AI: Capturing Its Influence, Designing Its Future"

Event Type

Seminar/Symposium

Sponsor

The Siebel School of Computing and Data Science - Human-Computer Interaction Talk Series

Location

Thomas M. Siebel Center for Computer Science SC 0216

Date

Apr 2, 2025   3:30 pm  

Speaker

Mina Lee, Assistant Professor, University of Chicago

Contact

Anthony Raucci

E-Mail

raucci@illinois.edu

Phone

217-300-0198

Views

319

Originating Calendar

Siebel School Speakers Calendar

Abstract: AI is changing how we write—not just the process itself, but also the content we produce and our identities as writers. In this talk, I approach these changes from three distinct angles. First, measuring AI’s impact on writing: I introduce CoAuthor, a platform that records keystroke-level human-AI interactions, allowing us to analyze AI’s effects on language, ideation, collaboration, and beyond. Second, understanding and designing AI writing assistants: I present a design space derived from a systematic review of over 100 AI writing assistants, highlighting potential trade-offs, alternative design choices, and gaps in current research. Finally, the evolving societal norms and expectations around AI in writing: I will share ongoing projects and invite an open discussion on the future of writing with AI.

Bio: Mina Lee is an Assistant Professor in the Computer Science and Data Science Institute at the University of Chicago. Previously, she was a postdoctoral researcher at Microsoft Research and received her Ph.D. in Computer Science from Stanford University. Her research focuses on Writing with AI, particularly how AI is transforming our writing process, the content we produce, and our identities as writers. She has co-founded and organized workshops on Intelligent and Interactive Writing Assistants (In2Writing), Human-centered Evaluation and Auditing of Language Models (HEAL), and , and Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI at ACL 2022 and CHI 2023-2025. Named one of MIT Technology Review’s Korean Innovators under 35 in 2022, her work has been published in generalist journals (e.g., Nature Human Behavior) as well as top-tier conferences in NLP (e.g., ACL and NAACL), HCI (e.g., CHI), and machine learning (e.g., NeurIPS). Her research on human-AI collaborative writing received an Honorable Mention Award at CHI 2022 and was featured in various media outlets, including The Economist.