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This is an announcement of <span class="outlook-search-highlight" style="color: rgb(7, 7, 6);">Han</span> <span class="outlook-search-highlight" style="color: rgb(7, 7, 6);">Liu</span>'s <span class="outlook-search-highlight" style="color: rgb(7, 7, 6);">Candidacy</span> Exam<br class="">
===============================================<br class="">
Candidate: <span class="outlook-search-highlight" style="color: rgb(7, 7, 6);">Han</span> <span class="outlook-search-highlight" style="color: rgb(7, 7, 6);">Liu</span><br class="">
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Date: Thursday, March 28, 2024<br class="">
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Time: 11 am CT<br class="">
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Remote Location: <a href="https://urldefense.com/v3/__https://uchicago.zoom.us/j/5431475712?pwd=T2hsWXRWZHJTRzBXc2duSkE4bkpkdz09__;!!BpyFHLRN4TMTrA!8bGfYJcblBYymGM0ZVXda53Ki2nFQKZxHMOpat_RilkvZc32fENccuhNRGAzv_EJBlDRuXVN5R6UqIu9s0jagN5NtSaAUIuuK0-a$" class="" title="https://urldefense.com/v3/__https://uchicago.zoom.us/j/5431475712?pwd=T2hsWXRWZHJTRzBXc2duSkE4bkpkdz09__;!!BpyFHLRN4TMTrA!8bGfYJcblBYymGM0ZVXda53Ki2nFQKZxHMOpat_RilkvZc32fENccuhNRGAzv_EJBlDRuXVN5R6UqIu9s0jagN5NtSaAUIuuK0-a$">https://uchicago.zoom.us/j/5431475712?pwd=T2hsWXRWZHJTRzBXc2duSkE4bkpkdz09</a><br class="">
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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 t<span class="outlook-search-highlight" style="color: rgb(7, 7, 6);">han</span> 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</div>
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