Morgan Klaus Scheuerman

University of Maryland, Baltimore County

Papers

Total Citations

210

H-Index

About

Morgan Klaus Scheuerman is a leading voice in critical AI and human-computer interaction, whose work exposes the ethical and social harms embedded in automated systems. Their research centers on gender, race, and identity in machine learning, with a particular focus on how algorithmic classification systems can reinforce marginalization. Scheuerman’s landmark paper, *“Gender Recognition or Gender Reductionism?”* (2018, 210+ citations), is a foundational critique of Automatic Gender Recognition (AGR) technologies, demonstrating how these systems flatten complex human identities into binary, often harmful, categories. This work has been instrumental in shaping policy and design guidelines for more equitable AI. Beyond this, Scheuerman has contributed to scholarship on fairness in computer vision, participatory design, and the politics of data annotation. Their research is widely cited across computing, social science, and law, and they are recognized for bridging critical theory with technical practice. Scheuerman’s work is essential reading for anyone interested in building AI that respects human dignity—not just accuracy.