PhD Student
Haley Triem studies intersections between people, technology, and policy. She is especially interested in how human values are upheld in human-like artificial intelligence through formal governance and informal social norms.
Haley has served as an Entrepreneurial Lead (EL) in NSF's Innovation Corps (I-Corps) program, where she conducted over 120 interviews to map concerns around AI in healthcare. She has also interned at the Dolph Briscoe Center for American History, where she developed a digital collection illustrating polarization on emerging computing technology in the 1980s and misinformation during the Iran Contra Scandal. Along with her research, Haley has enjoyed working as a Learning Facilitator in "Ethics in AI" (Computer & Data Science Online Program, UT Austin) and as a freelance formal writing tutor. She has proudly served as a Graduate Student Representative on UT's Informatics Undergraduate Studies Committee.
Haley employs interdisciplinary research methods such as interviews, surveys, and natural language processing. At the center of her work, she maintains that social, cultural, and historical context ground ethical AI.
Haley has served as an Entrepreneurial Lead (EL) in NSF's Innovation Corps (I-Corps) program, where she conducted over 120 interviews to map concerns around AI in healthcare. She has also interned at the Dolph Briscoe Center for American History, where she developed a digital collection illustrating polarization on emerging computing technology in the 1980s and misinformation during the Iran Contra Scandal. Along with her research, Haley has enjoyed working as a Learning Facilitator in "Ethics in AI" (Computer & Data Science Online Program, UT Austin) and as a freelance formal writing tutor. She has proudly served as a Graduate Student Representative on UT's Informatics Undergraduate Studies Committee.
Haley employs interdisciplinary research methods such as interviews, surveys, and natural language processing. At the center of her work, she maintains that social, cultural, and historical context ground ethical AI.
MS in Information Studies, The University of Texas at Austin
BA in English and Creative Writing, The University of Iowa
BA in Art, The University of Iowa
AI Ethics
Value Sensitive Design
Anthropomorphized AI
AI Agents
Human-AI Interaction
Triem H. & Ding Y. (2024, October). "Tipping the Balance": Human Intervention in Large Language Model Multi-Agent Debate [Conference presentation]. 87th Annual Meeting of the Association for Information Science and Technology, Calgary, Canada.
Institute of Museum and Library Services LADDER Fellow, The University of Texas at Austin
NSF Research Traineeship Ph.D. Fellow in Ethical AI, The University of Texas at Austin