Jordan Taylor

Research Areas

Biography

Jordan Taylor is a Postdoctoral Research Fellow in the University of Michigan’s School of Information, where he collaborates with Nazanin Andalibi. His research examines the societal implications of AI, with a primary focus on artists and LGBTQ+ communities. His most recent research examines how Voice AI technologies are reshaping creative labor. Jordan’s research has garnered awards at leading AI and HCI conferences and has been covered by major technology and art journalists.

Dissertation title

Art in the AI of the Beholder: How Queer Art and Artists Challenge Algorithmic Aesthetics

Areas of interest

Human-Centered AI; Art & AI; Queer AI; Future of Work; Critical Computing

Education

B.S. in Computer Science, Georgia Institute of Technology, 2020
M.S. in Computer Science, Georgia Institute of Technology, 2021
Ph.D. in Human-Computer Interaction, Carnegie Mellon University, 2026

Selected publications

Jordan Taylor, Joel Mire, Alicia DeVrio, Maarten Sap, Haiyi Zhu, Sarah Fox. “I Just Don't Want My Work Being Fed Into The AI Blender:” Queer Artists on Refusing and Resisting Generative AI. (2026). Proceedings of the ACM on Human-Computer Interaction, CSCW.

Jordan Taylor, William Agnew, Maarten Sap, Sarah Fox,* Haiyi Zhu.* The Algorithmic Gaze of Image Quality Assessment: An Audit and Trace Ethnography of the LAION-Aesthetics Predictor. (2026). Proceedings of the ACM FAccT Conference on Fairness, Accountability and Transparency. *Equal Contribution

Jordan Taylor, Joel Mire, Franchesca Spektor, Alicia DeVrio, Maarten Sap, Haiyi Zhu, Sarah Fox. Un-Straightening Generative AI: How Queer Artists Surface and Challenge Model Normativity. (2025). Proceedings of the ACM FAccT Conference on Fairness, Accountability and Transparency.

Jordan Taylor,* Ellen Simpson,* Anh-Ton Tran,* Jed Brubaker, Sarah Fox, Haiyi Zhu. Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCI. (2024). Proceedings of the ACM CHI Conference on Human Factors in Computing Systems. *Equal Contribution.