Katelyn C. Morrison

Current Resume

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 (👩🏻‍💼 + 🤖) with Generative AI by investigating reliance on AI and the impact of eXplainable AI (XAI) visualizations and interactions. My research has focused on language models explaining image classifications in high-stakes decision-making domains such as building damage assessment 🛰, wildlife conservation 🦜, and medical imaging 🩻. I am also interested in exploring Generative AI in low-stakes domains. My research has been funded by the NIH and the Software Engineering Institute at Carnegie Mellon University. I am a co-organizer for a workshop at NeurIPS 2023 on Computational Sustainability: Promises and Pitfalls from Theory to Deployment.

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 and 2022 Computational Sustainability Doctoral Consortium.

news

Oct 15, 2023	Presented two papers at CSCW 2023 in Minneapolis!
Oct 13, 2023	Our 👩🏻‍💼 + 🤖 for 🦜 paper was conditionally accepted to CSCW 2024! Stay tuned
Jul 5, 2023	Workshop on Computational Sustainability accepted to NeurIPS 2023!
Apr 4, 2023	Workshop paper accepted to XAI4CV Workshop at CVPR 2023!
May 16, 2022	Ph.D. Research Intern at Microsoft Research, Redmond this summer!

selected publications

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

Bib PDF
@inproceedings{morrison2023explanations, bibtex_show = {true}, abbr = {Conference Paper}, title = {Evaluating the Impact of Human Explanation Strategies on Human-AI Visual Decision-Making}, author = {Morrison, K. and Shin, D. and Holstein, K. and Perer, A.}, booktitle = {ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)}, year = {2023}, pdf = {23_cscw_explanation_characteristics.pdf}, selected = {true} }
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.

CONDITIONALLY ACCEPTED at ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2024

Bib HTML PDF
@article{morrison2023imperfectxai, bibtex_show = {true}, abbr = {Conference Paper}, title = {The Impact of Imperfect XAI on Human-AI Decision-Making}, author = {Morrison, K. and Spitzer, P. and Turri, V. and Feng, M. and Kühl, N. and Perer, A.}, journal = {CONDITIONALLY ACCEPTED at ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)}, year = {2024}, html = {https://arxiv.org/pdf/2307.13566.pdf}, pdf = {communication_talk_2023.pdf}, selected = {true} }