Morgan Klaus Scheuerman
Profile
Morgan is a research scientist on the AI Ethics team at Sony AI. He is focused on the intersection between human-computer interaction (HCI) and responsible and ethical AI. Prior to joining Sony AI, he was a postdoctoral researcher in Information Science at the University of Colorado Boulder, where he also received his Ph.D. Morgan was awarded the 2021 Microsoft Ph.D. Research Fellowship for his work on identity characteristics in AI. His work has won numerous best paper, honorable mention, and diversity and inclusion awards. He received his Master of Science in Human-Centered Computing from the University of Maryland, Baltimore County (UMBC), and his Bachelor of Arts. in Media Studies from Goucher College.
Publications
Responsibly Training Foundation Models: Actualizing Ethical Principles for Curating Large-Scale Training Datasets in the Era of Massive AI Models
CSCW, 2025 | Morgan Klaus Scheuerman, Dora Zhao*, Jerone T. A. Andrews, Abeba Birhane, Q. Vera Liao*, Georgia Panagiotidou*, Pooja Chitre*, Kathleen Pine, Shawn Walker*, Jieyu Zhao*, Alice Xiang
AI technologies have become ubiquitous, influencing domains from healthcare to finance and permeating our daily lives. Concerns about the values underlying the creation and use of datasets to develop AI technologies are growing. Current dataset practices often disregard crit...
How Data Workers Shape Datasets: The Role of Positionality in Data Collection and Annotation for Computer Vision
CSCW, 2025 | Morgan Klaus Scheuerman, Allison Woodruff, Jed R. Brubaker
Data workers play a key role in the big data industry. Clients hire data workers to collect and annotate data with human identity concepts, like demographic categories or clothing items. Often, such workers are treated as computational—they are expected to quickly and object...
Transphobia is in the Eye of the Prompter: Trans-Centered Perspectives on Large Language Models
TOCHI, 2025 | Morgan Klaus Scheuerman, Katy Weathington, Adrian Petterson, Dylan Thomas Doyle, Dipto Das, Michael Ann DeVito, Jed R. Brubaker
Large language models (LLMs) are the new hot trend being rapidly integrated into products and services—often, in chatbots. LLM-powered chatbots are expected to respond to any number of topics, including topics central to gender identity. In light of rising anti-trans discour...
A Taxonomy of Challenges to Curating Fair Datasets
NEURIPS, 2024 | Dora Zhao*, Morgan Klaus Scheuerman, Pooja Chitre*, Jerone Andrews, Georgia Panagiotidou*, Shawn Walker*, Kathleen H. Pine*, Alice Xiang
Despite extensive efforts to create fairer machine learning (ML) datasets, there remains a limited understanding of the practical aspects of dataset curation. Drawing from interviews with 30 ML dataset curators, we present a comprehensive taxonomy of the challenges and trade...