Di Yuan

Biography

Di Yuan conducts research at the intersection of AI, algorithms and economics. More specifically, she examines the economic issues that arise when online platforms adopt AI technology. Her paper about fair advertising practices and whether certain demographic groups see economic opportunity ads on social media as often as other groups won the Best Student Paper Award at the 2021 Conference on Information Systems and Technology (CIST). The paper has been submitted to Marketing Science.

Other research projects include investigating the unintended consequences of deploying AI systems in competitive workplace environments, whether the use of generative AI tools in social media video creation may displace highly talented creators and result in an overall decline in video quality, and how large language models can be used to mitigate bias in online reviews.

At Auburn, she is teaching Introduction to Information Systems Management (ISMN 2140)—a course that allows her to incorporate some of the practical software tools she used during her industry career as a project manager in Australia. 

She earned her PhD in information systems and technology management at the University of Pittsburgh in 2021 and spent two years as a post-doctoral research associate at the University of Illinois at Urbana-Champaign Gies College of Business before joining Auburn’s Harbert College of Business.

In her spare time, she enjoys photographing nature landscapes, cooking, baking and playing tennis.