PhD Student in Information Science at University of Colorado Boulder
I am a PhD candidate researching identity representations in technical infrastructures. I am supported by a Microsoft Research PhD Fellowship.
I am advised by Jed Brubaker in the Identity Lab.
Broadly, I am interested in identity theory, infrastructure studies, AI ethics, and digital identity. I focus primarily on machine learning infrastructures that operationalize human identity characteristics, like gender and race. In particular, I explore the real-world implications of machine learning for those with historically marginalized identities.
PDFs of my work can be found on my Research page. Non-publication specific projects can be found under the Projects tab. This includes the HCI Gender Guidelines and my Prelim Reading List documentation.
- Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development.
Morgan Klaus Scheuerman, Emily Denton, and Alex Hanna.
Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 317 (October 2021), 37 pages. Best Paper Award.
- How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis. Morgan Klaus Scheuerman, Kandrea Wade, Caitlin Lustig, Jed R. Brubaker. Proc. ACM Hum.-Comput. Interact. 4, CSCW1, Article 58. May 2020. Best Paper Award. Recognition for Diversity and Inclusion.
- How Computers See Gender: An Evaluation of Gender Classification in Commercial Facial Analysis and Image Labeling Services. Morgan Klaus Scheuerman, Jacob M. Paul, Jed R. Brubaker. ACM Hum.-Comput. Interact. 3, CSCW, Article 144. November 2019. Best Paper Award.
- Gender Recognition or Gender Reductionism? The Social Implications of Automatic Gender Recognition Systems.” Foad Hamidi, Morgan Klaus Scheuerman, Stacy M Branham. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’18). April 2018. Best Paper Award.
October, 25, 2022I am honored that our paper, “Do You Ladies Relate?”: Experiences of Gender Diverse People in Online Eating Disorder Communities, was awarded an Honorable Mention and Recognition of Diversity and Inclusion at CSCW 2022!
October, 25, 2021I am honored that our paper, "Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development," was awarded a Best Paper Award for CSCW 2021!
April 1, 2021I will be working with the MSR FATE team on gender in image captioning and labelling for the next couple of months.
January 25, 2021I have been selected as a 2021 Microsoft Research PhD Fellow! Check out my fellow profile.
October 13 2020Extremely excited to announce that our CSCW 2020 paper, How We’ve Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial Analysis., was awarded both a Best Paper Award and a Recognitions for Contribution to Diversity & Inclusion.