[Colloquium] Candidate Talk 1/27: Sherry Wu (U. of Washington) – Interactive AI Model Debugging and Correction

[Rob Mitchum]

*Data Science Institute/Computer Science/Statistics Candidate Seminar*

*Sherry Tongshuang Wu*
*Ph.D. Candidate*
*University of Washington*

*Thursday, January 27th*
*2:00 p.m. - 3:00 p.m.*
*Live Stream <http://live.cs.uchicago.edu/tongshuangwu/> or Zoom (details
below)*


*Interactive AI Model Debugging and Correction*

Research in Artificial Intelligence (AI) 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? I will discuss my
work empowering humans to interact with AI models in order to debug and
correct them. I will describe both (1) how I help experts run scalable and
testable analyses on models in development, and (2) how I help end users
collaborate with deployed AI in a transparent and controllable way. In my
final remarks, I will discuss my future research perspectives on building
human-centered AI through data-centric approaches.

*Bio*: Sherry Tongshuang Wu <https://homes.cs.washington.edu/~wtshuang/> is
a final year Ph.D. Candidate in Computer Science & Engineering at the
University of Washington, advised by Jeffrey Heer and Dan Weld. She
received her B.Eng in CSE 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, TVCG, etc, including a
best paper award (top-1) and an honorable mention (top-3).

*Host*: Chenhao Tan

*Zoom Info:*
https://uchicago.zoom.us/j/96547692134?pwd=eWRkZ2Z1KzlIR2xnNTVTQXh2OTRVQT09
Meeting ID: 912 9891 3771
Passcode: ds2022

-- 
*Rob Mitchum*

*Associate Director of Communications for Data Science and Computing*
*University of Chicago*
*rmitchum at uchicago.edu <rmitchum at ci.uchicago.edu>*
*773-484-9890*
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