Katelyn Xiaoying Mei

Katelyn Xiaoying Mei

Ph.D. Student
University of Washington

I'm a third-year PhD student in Information Science at the University of Washington. I'm fortunate to be advised by Lucy Lu Wang and Katharina Reinecke. I'm also very grateful to be mentored by Allison Koenecke and Mona Sloane . Before my PhD, I spent four amazing years at Middlebury College from which I obtained my Bachelor's of Art in Psychology and Mathematics.

My research interests derive from the intersection of psychology, humanties, and data science. My projects focus on human thinking and decision-making in the age of generative AI, including 1) how individuals are impacted by AI systems, 2) what are the psychological factors underlying our engagement with AI systems, and 3) what can (cannot) facilitate effective Human-AI collaboration.

News

March 2025

New article on AI hallucination published in the Conversation

Check out my latest article on AI hallucination and its implications for society.

Education

2022—Present

University of Washington

Ph.D. in Information Science

Advisor: Prof. Lucy Lu Wang and Prof. Katharina Reinecke

2018—2022

Middlebury College

B.A. in Psychology and Mathematics

Publications

ACM Workshop on Human-AI Interaction for Augmented Reasoning (CHI) 2025

Designing AI Systems that Augment Human Performed vs. Demonstrated Critical Thinking

Katelyn X. Mei, Nic Weber

Proposes new definitions for evaluating the impact of GenAI on human critical thinking and systems design.

ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2024

Careless Whisper: Speech-to-Text Hallucination Harms

Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane

Hallucination in speech-to-text output in OpenAI Whisper.

ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023

Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks

Katelyn X. Mei, Sonia Fereidooni, Aylin Caliskan