Katelyn C. Morrison

DIG Lab @ Carnegie Mellon University.

I am a fourth year Ph.D. student at Carnegie Mellon University in the Human-Computer Interaction Institute where I am fortunate to be advised by Adam Perer. My research focuses on enhancing and augmenting human-AI collaboration (👩🏻‍💼 + 🤖). My recent research has focused on interactions with Vision-Language Models in wildlife conservation and medical imaging as well as Bayesian Networks for Pulmonary Arterial Hypertension risk outcome. My research has been funded by the NIH, the Center for Machine Learning and Health, and the Software Engineering Institute at Carnegie Mellon University.

I graduated from the University of Pittsburgh in May 2021 with a bachelor’s degree in computer science and a certificate in sustainability. In undergrad, I focused on the application and limitations of computer vision models as well as the distribution of smart mobility resources within cities. I also served as a co-organizer for the 2020, 2022, and 2023 Computational Sustainability Workshop.

news

May 16, 2024 Selected for the Center for Machine Learning and Health Fellowship at CMU! :tada:
Mar 30, 2024 Our paper in collaboration with Wild Me has been accepted to FAccT! :tada:
Dec 20, 2023 My Microsoft Research Internship work on AI-Powered Reminders has been accepted to CSCW 2024! :sparkles:
Dec 10, 2023 Joining Justin Weisz’s team at IBM this summer as a Human-Centered Generative AI Research Scientist Intern! :sparkles:
Oct 13, 2023 Our Imperfect XAI paper on 👩🏻‍💼 + 🤖 for 🦜 was accepted to CSCW 2024! :tada:

selected publications

  1. Conference Paper
    Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making
    Morrison, K., Shin, D., Holstein, K., and Perer, A.
    In ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2023
  2. Conference Paper
    The Impact of Imperfect XAI on Human-AI Decision-Making
    Morrison, K., Spitzer, P., Turri, V., Feng, M., Kühl, N., and Perer, A.
    ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2024