About Me

I am a Postdoctoral Research Fellow at the University of Michigan’s School of Information working with Nazanin Andalibi. I hold a Ph.D. in Human-Computer Interaction from Carnegie Mellon University as well as M.S. and B.S. degrees in Computer Science from the Georgia Institute of Technology.

My research examines how Artists and LGBTQ+ Communities navigate, shape, and are shaped by sociotechnical systems, including generative AI and social media. In doing so, I study and question dominant values embedded in the design of technologies. My most recent research examines the cultural consequences of aesthetic evaluation and the future of artistic labor.

Research Interests: Human-Computer Interaction, Critical AI Studies, Science & Technology Studies, Queer Computing

Selected Publications

Jordan Taylor, Joel Mire, Alicia DeVrio, Maarten Sap, Haiyi Zhu, Sarah Fox. (2026). “I Just Don’t Want My Work Being Fed Into The AI Blender”: Queer Artists on Refusing and Resisting Generative AI. Proceedings of the ACM CSCW Conference on Computer-Supported Cooperative Work and Social Media (To Appear at CSCW 2026). [Honorable Mention 🏆]

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

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

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

Selected Extended Abstracts

Harry H. Jiang, Jordan Taylor, William Agnew. (2026). How Professional Visual Artists are Negotiating Generative AI in the Workplace. CHI 2026 Poster.

Anh-Ton Tran, Annabel Rothschild, Kay Kender, Ekat Osipova, Brian Kinnee, Jordan Taylor, Louie Søs Meyer, Oliver L. Haimson, Ann Light, Carl Disalvo. (2024). Making Trouble: Techniques for Queering Data and AI Systems. DIS 2024 Workshop.

Blakeley H. Payne, Jordan Taylor, Katta Spiel, Casey Fiesler. (2023). How to Ethically Engage Fat People in HCI Research. CSCW 2023 Poster. [Best Poster 🏆]

Selected Press

What makes art human? Inside animation’s AI reckoning. (2026). National Public Radio.

Celebrate Pride Month 2026 with ACM. (2026). Association for Computing Machinery.

The AI-inflected Crisis Artists Are Facing, in 4 Charts. (2026). Brian Merchant.

ACM Celebrates Pride Month 2025. (2025). Association for Computing Machinery.

Louisiana Law Requiring Proof of ID for Porn Site Access Has Privacy Advocates Worried. (2023). Marketplace Tech.

Selected Teaching

CV

Updated CV (last edited July 2026)