Scholar
Katelyn X. Mei
Google Scholar ID: m8Fcl7QQLMAC
University of Washington
Citations & Impact
Citations
180
H-index
2
i10-index
2
Publications
6
Co-authors
5
list available
Resume (English only)
Academic Achievements
- Publications: 1. Designing AI Systems that Augment Human Performed vs. Demonstrated Critical Thinking (2025, CHI Workshop); 2. Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies (2025, Under Submission); 3. Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI (2025, Under Submission); 4. Careless Whisper: Speech-to-Text Hallucination Harms (2024, FAccT Conference); 5. Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks (2023, FAccT Conference).
Research Experience
- Fourth-year Ph.D. candidate in Information Science at the University of Washington. Obtained a Bachelor's of Art in Psychology and Mathematics from Middlebury College.
Education
- Ph.D. in Information Science from the University of Washington, advised by Prof. Lucy Lu Wang and Prof. Katharina Reinecke. B.A. in Psychology and Mathematics from Middlebury College.
Background
- Research interests: Intersection of psychology, humanities, and data science. Projects focus on human cognition and decision-making in the age of generative AI, including 1) how individuals interact with AI systems in various settings, 2) how AI systems affect individuals' behaviors, and 3) psychological factors underlying our engagement with AI systems.
Miscellany
- Contact: kmei@uw.edu; Google Scholar: https://scholar.google.com/citations?user=; GitHub: github.com/mooniem; LinkedIn: linkedin.com/in/katelynmei
