Katelyn C. Morrison

DIG Lab @ Carnegie Mellon University.

I am a third 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 improving human-AI collaboration (👩🏻‍💼 + 🤖) by investigating reliance on AI, its impact in the workplace, and the impact of eXplainable AI (XAI). My recent research has focused on interactions with Vision-Language Models in wildlife conservation and medical imaging. My research has been funded by the NIH 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.


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:
May 16, 2022 Ph.D. Research Intern at Microsoft Research, Redmond this summer! :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