[Colloquium] Reminder - Han Liu Candidacy Exam/Mar 28, 2024

[Megan Woodward]

This is an announcement of Han Liu's Candidacy Exam
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Candidate: Han Liu

Date: Thursday, March 28, 2024

Time: 11 am CT

Remote Location: https://uchicago.zoom.us/j/5431475712?pwd=T2hsWXRWZHJTRzBXc2duSkE4bkpkdz09<https://urldefense.com/v3/__https://uchicago.zoom.us/j/5431475712?pwd=T2hsWXRWZHJTRzBXc2duSkE4bkpkdz09__;!!BpyFHLRN4TMTrA!8bGfYJcblBYymGM0ZVXda53Ki2nFQKZxHMOpat_RilkvZc32fENccuhNRGAzv_EJBlDRuXVN5R6UqIu9s0jagN5NtSaAUIuuK0-a$>

Location: JCL 011

Title: Empowering humans with machines: from explanations to teaching

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.

Advisors: Chenhao Tan

Committee Members: Yuxin Chen, Chenhao Tan, and Aritrick Chatterjee










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