“…a decidedly queer approach can question the very logics of visibility with which algorithmic systems and AI are trained.” — Klipphahn-Karge et al.

My name is Jacob Hobbs! I’m currently working as a Software Engineer for CoStar Group in Arlington, VA just outside of Washington, DC. I graduated with High Distinction from the University of Virginia in 2025 (read my thesis on Theories of ‘Sexuality’ in NLP Bias Research). Outside of work, I’m a visiting researcher at Carnegie Mellon University and work heavily with Queer in AI. I’m currently working on a couple independent and group research projects related to queerness and bias evaluations in NLP!

Research Interests

My current research interests can be categorized into broad fields of Natural Language Processing and the societal implications of artificial intelligence systems with a specific focus on how LGBTQIA+ identities impact/are impacted by these systems. My research goal is to develop new methods of measuring & mitigating biases in LLMs while using social science & participatory methods to inform a more fair and equitable AI future.

Publications

Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends
Sabine Weber, Angelina Wang, Ankush Gupta, Arjun Subramonian, Dennis Ulmer, Eshaan Tanwar, Geetanjali Aich, Hannah Devinney, Jacob Hobbs, Jennifer Mickel, Joshua Tint, Mae Sosto, Ray Groshan, Simone Astarita, Vagrant Gautam, Verena Blaschke, William Agnew, Wilson Y Lee, Yanan Long
Submitted to Transactions of the Association for Computational Linguistics (TACL)
Paper

Teaching

Press