Katelyn Morrison
PhD Alumni
Her research focuses on improving human-AI collaboration by exploring how different explainable AI techniques impact task accuracy and reliance on AI. She is also interested in helping data scientists better understand the behaviors of their models through interactive visualizations. Katelyn obtained her bachelor’s degree in Computer Science from the University of Pittsburgh along with a certificate in Sustainability. She grew up in rural Pennsylvania and loves to bike on the rail trails around Pittsburgh.
Research Interests
Human-AI Collaboration, Explainable AI, Interactive Visualizations
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Related Projects
ProjectEye into AI
Recent developments in explainable AI (XAI) aim to improve the transparency of black-box models. However, empir Recent developments in explainable AI (XAI) aim to improve the transparency of black-box models. However, empirically evaluating the interpretability of these XAI techniques is still an open challenge ...