I'm a first year PhD student in Information Science at The University of Texas at Austin, advised by Dr. Ken Fleischmann. I study how to uphold human values in human-like AI, and use a range of multidisciplinary methods, such as intierviews, surveys, and natural language processing.
I am a 2024-2025 IMLS LADDER Fellow and a 2025-2027 NSF Research Traineeship Fellow in Ethical AI. At the center of my work, I maintain that social, cultural, and historical context ground ethical AI.
Prior to my PhD, I've held various roles such as Entrepreneurial Lead (NSF I-Corps), Jack Brooks Project Intern (Dolph Briscoe Center for American History), Learning Facilitator (Computer & Data Science Online Program, "Ethics in AI"), and Circulation Assistant (Montgomery County Memorial Library System).
PhD, Information Science | The University of Texas at Austin (current)
Advised by Dr. Ken Fleischmann
MS, Information Science | The University of Texas at Austin (2024)
Endorsement of Specialization in Applied Machine Learning and Deep Learning
Graduate Portfolio in AI Ethics
Master's Thesis: "Tipping the Balance: Human Intervention in Large Language Model Multiagent Debate" PDF File
Supervising Committee: Dr. Ying Ding, Supervisor; Dr. Amelia Acker
BA, English & Creative Writing (honors) | The Universitys of Iowa (2021)
BA, Art | The Universitys of Iowa (2021)
Triem, H. & Ding, Y. (2024). "Tipping the Balance": Human Intervention in Large Language Model Multi-Agent Debate.Proceedings of the Association for Information Science and Technology,61(1), 361-373. https://doi.org/10.1002/pra2.1034.
haleytriem@utexas.edu
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