Computer Science

Addressing bias in AI

Eric Slyman presenting at the Graduate Research Showcase.

Eric Slyman builds tools to uncover where artificial intelligence makes mistakes.

Specifically, the Ph.D. student in artificial intelligence and computer science looks at how AI learns social biases. And they’ve built a tool to help AI auditors address it — quickly, accurately and economically.

Bias in AI can show up, for example, when a user asks it to find or create an image of a doctor.

An overview of the AI graduate program at Oregon State University

The faculty in the artificial intelligence research group specialize in various aspects of the field, including machine learning, computer vision, natural language processing, and robotics.
Front row: V John Mathews, Fuxin Li, Bechir Hamdaoui, Rebecca Hutchinson, Maude David, David Hendrix, Huazheng Wang, Xiao Fu
Back row: Patrick Donnelly, Julie A. Adams, Prasad Tadepalli, Sandhya Saisubramanian, Karthika Mohan, Stefan Lee, Lizhong Chen, Weng-Keen Wong


Zane Ma

Zane Ma is an assistant professor in the School of EECS. He has a Ph.D. in computer science from the University of Illinois and a B.A. in chemistry from Princeton University. Prior to joining Oregon State in 2023, he was a research scientist at the Georgia Institute of Technology working on network security for web servers and 5G technologies. Ma’s research interests are in applied network security, with a focus on web authentication, naming, and emerging internet technologies (e.g., 5G, blockchain, IoT).

Alex Guyer

Alex Guyer received a B.S. in computer science at Oregon State University in 2020 and continued at Oregon State to complete an M.S. degree in 2022. His master's thesis was related to out-of-distribution detection and open-set recognition in deep learning. Guyer continued his research as a faculty research assistant, and is now a full-time instructor in the School of Electrical Engineering and Computer Science.