Ju Yeon Jung

Ju Yeon Jung is an Auditing AI fellow whose research explores humans’ ethical and practical engagement with data. Working at the intersections of the fields of human-computer interaction (HCI), computer-supported cooperative work (CSCW), and science and technology studies, she draws on ethnographic and other qualitative methods to study how humans across various settings interact with data to inform the design of ethical and practical human-centered AI tools.

Her research is grounded in an end-user approach that focuses on how technologies can be understood and designed to account for and support real-world practices. Her current project involves exploring how AI audits can enable accounting for the ethical implications of AI systems’ technical performance as well as supporting the strategic and reflective use of AI systems in organizations.

Jung’s work has appeared in leading scholarly venues including ACM CSCW (Computer-Supported Cooperative Work) and DIS (Designing Interactive Systems) conferences, receiving two best paper honorable mention awards. She holds a Ph.D. in information from the University of Michigan.