Sherry Tongshuang Wu, a final year doctoral candidate in computer science and engineering at the University of Washington, will deliver "Interactive AI Model Debugging and Correction" as part of CSRAI's Young Achievers Symposium.
“Interactive AI Model Debugging and Correction”
Research in artificial intelligence has advanced at an incredible pace, to the point where it is making its way into our everyday lives, explicitly and behind the scenes. However, beneath their impressive progress, many AI models hide deficiencies that amplify social biases or even cause fatal accidents. How do we identify, improve, and cope with imperfect models, while still benefiting from their use? “Interactive AI Model Debugging and Correction” will discuss Wu’s work empowering humans to interact with AI models in order to debug and correct them. She will describe both (1) how she helps experts run scalable and testable analyses on models in development, and (2) how she helps end users collaborate with deployed AI in a transparent and controllable way. In her final remarks, she will discuss her future research perspectives on building human-centered AI through data-centric approaches.
About the Speaker
Sherry Tongshuang Wu is a final year doctoral candidate in computer science and engineering at the University of Washington, where she is advised by Jeffrey Heer and Dan Weld. She received her B.Eng in computer science and engineering from the Hong Kong University of Science and Technology. Her research lies at the intersection of Human-Computer Interaction (HCI) and Natural Language Processing (NLP), and aims to empower humans to debug and correct AI models interactively, both when the model is under active development and after it is deployed for end users. Sherry has authored 19 papers in top-tier NLP, HCI and visualization conferences and journals such as ACL, CHI, TOCHI, and TVCG, including a best paper award (top-1) and an honorable mention (top-3).
About the Symposium
The Young Achievers Symposium highlights early career researchers in diverse fields of AI for social impact. The symposium series seeks to focus on emerging research, stimulate discussions, and initiate collaborations that can advance research in artificial intelligence for societal benefit. All events in the series are free and open to the public unless otherwise noted. Penn State students, postdoctoral scholars, and faculty with an interest in socially responsible AI applications are encouraged to attend.