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This is an announcement of Han Liu's Candidacy Exam. <b class="">Please note the new time and location.</b><br class="">
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Candidate: Han Liu<br class="">
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Date: Thursday, March 28, 2024<br class="">
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Updated Time: 11 am CT<br class="">
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Remote Location: <a href="https://uchicago.zoom.us/j/5431475712?pwd=T2hsWXRWZHJTRzBXc2duSkE4bkpkdz09" class="">https://uchicago.zoom.us/j/5431475712?pwd=T2hsWXRWZHJTRzBXc2duSkE4bkpkdz09</a><br class="">
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Updated Location: JCL 011<br class="">
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Title: Empowering humans with machines: from explanations to teaching<br class="">
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Abstract: Artificial intelligence models are increasingly used to assist humans in decision making tasks. However, they solve problems in different ways than humans do, resulting in different performance of human-AI teams. An ideal human-AI collaboration system
should leverage the strengths of both humans and AI, and mitigate their weaknesses. In this presentation, I will talk about how to empower humans with AI systems on decision making tasks. In Part I, I will talk about an investigation on how different distribution
types and explanation types influence human-AI team performance on text classification and recidivism prediction. In Part II, I will talk about how to build AI-driven tutorials to assist and teach human to do natural and medical image classification. <br class="">
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Advisors: Chenhao Tan<br class="">
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Committee Members: Yuxin Chen, Chenhao Tan, and Aritrick Chatterjee<br class="">
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