Katelyn C. Morrison

selected publications

1. Conference Paper

   A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology

   Morrison, Katelyn, Mathur, Arpit, Bradshaw, Aidan, Wartmann, Tom, Lundi, Steven, Zandifar, Afrooz, Dai, Weichang, Batmanghelich, Kayhan, Eslami, Motahhare, and Perer, Adam

   Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 2025

   Abs Bib PDF

   As text-to-image generative models rapidly improve, AI researchers are making significant advances in developing domain-specific models capable of generating complex medical imagery from text prompts. Despite this, these technical advancements have overlooked whether and how medical professionals would benefit from and use text-to-image generative AI (GenAI) in practice. By developing domain-specific GenAI without involving stakeholders, we risk the potential of building models that are either not useful or even more harmful than helpful. In this paper, we adopt a human-centered approach to responsible model development by involving stakeholders in evaluating and reflecting on the promises, risks, and challenges of a novel text-to-CT Scan GenAI model. Through exploratory model prompting activities, we uncover the perspectives of medical students, radiology trainees, and radiologists on the role that text-to-CT Scan GenAI can play across medical education, training, and practice. This human-centered approach additionally enabled us to surface technical challenges and domain-specific risks of generating synthetic medical images. We conclude by reflecting on the implications of medical text-to-image GenAI.

   @article{morrison2025ahumancent,
     abbr = {Conference Paper},
     bibtex_show = {true},
     selected = {true},
     title = {A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology},
     author = {Morrison, Katelyn and Mathur, Arpit and Bradshaw, Aidan and Wartmann, Tom and Lundi, Steven and Zandifar, Afrooz and Dai, Weichang and Batmanghelich, Kayhan and Eslami, Motahhare and Perer, Adam},
     journal = {Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
     volume = {8},
     number = {2},
     pages = {1758-1770},
     year = {2025},
     pub_year = {2025},
     citation = {Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 8 (2 ..., 2025},
     pdf = {https://ojs.aaai.org/index.php/AIES/article/download/36672/38810}
   }

2. Conference Paper

   The Impact of Imperfect XAI on Human-AI Decision-Making

   Morrison, Katelyn, Spitzer, Philipp, Turri, Violet, Feng, Michelle, Kühl, Niklas, and Perer, Adam

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

   Abs Bib HTML

   Explainability techniques are rapidly being developed to improve human-AI decision-making across various cooperative work settings. Consequently, previous research has evaluated how decision-makers collaborate with imperfect AI by investigating appropriate reliance and task performance with the aim of designing more human-centered computer-supported collaborative tools. Several human-centered explainable AI (XAI) techniques have been proposed in hopes of improving decision-makers’ collaboration with AI; however, these techniques are grounded in findings from previous studies that primarily focus on the impact of incorrect AI advice. Few studies acknowledge the possibility of the explanations being incorrect even if the AI advice is correct. Thus, it is crucial to understand how imperfect XAI affects human-AI decision-making. In this work, we contribute a robust, mixed-methods user study with 136 ...

   @article{morrison2024theimpacto,
     abbr = {Conference Paper},
     bibtex_show = {true},
     selected = {true},
     title = {The Impact of Imperfect XAI on Human-AI Decision-Making},
     author = {Morrison, Katelyn and Spitzer, Philipp and Turri, Violet and Feng, Michelle and Kühl, Niklas and Perer, Adam},
     journal = {ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW)},
     year = {2024},
     pub_year = {2024},
     citation = {ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social ..., 2024},
     html = {https://arxiv.org/pdf/2307.13566.pdf}
   }