About Me

My name is Jordan and I’m a PhD candidate in Human-Computer Interaction at Carnegie Mellon advised by Haiyi Zhu and Sarah Fox. I graduated with a B.S. and M.S. in Computer Science from Georgia Tech.

My research focuses on how queer communities and artists creatively make use of and resist technologies, such as online communities and generative AI systems. I also draw on cultural studies and science & technology studies to examine dominant values embedded in technologies. My most recent research examines the cultural consequences of aesthetic evaluation.

Research Interests: Critical HCI, Science & Technology Studies, Queer HCI, Responsible AI, Art, Social Computing

Selected Publications

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 (To Appear at FAccT 2026).

Anna Kawakami, Jordan Taylor, Sarah Fox, Haiyi Zhu, Kenneth Holstein. (2026). AI Failure Loops in Devalued Work: The Confluence of Overconfidence in AI and Underconfidence in Worker Expertise. Big Data & Society.

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. (To Appear)

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 Award)

Logan Stapleton, Jordan Taylor, Sarah Fox, Tongshuang Wu, Haiyi Zhu. (2023). Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses. Shared at ICML Workshop on Challenges in Deployable Generative AI.

Magazine Articles

Jordan Taylor, Adinawa Adjagbodjou. DEI in Computing: Centering the Margins. (2022). XRDS: Crossroads, The ACM Magazine for Students 28, no. 4.

Jordan Taylor. Decoloniality in Computing: An Interview with Dipto Das. (2022). XRDS: Crossroads, The ACM Magazine for Students 28, no. 4.

Selected Press

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

CMU Technologists Look to a More Inclusive Future. (2024). Carnegie Mellon University School of Computer Science News.

How Should AI Depict Marginalized Communities? (2024). Carnegie Mellon University Newsletter (The Piper).

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

Selected Teaching

CV

Updated CV (last edited March 2026)