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제목 인공지능 대학원 전문가 초청 세미나(11/29 15:00~)
작성자 대학원담당 작성일 2019-11-29

아래와 같이 인공지능대학원에서 전문가 초청세미나를 주최하오니 관심있는 학생들의 많은 참여를 바랍니다.

- 아 래 -

● 시간: 11월 29일 금요일 15:00 ~ 16:30

● 장소: 화학관 330110호

Title: Human-AI Interaction: Designing AI-Powered Systems for Learning, Analytics, and Discussion

Speaker: Juho Kim (김주호 교수, KAIST)

Homepage: http://juhokim.com/

Biography. Juho Kim is an Assistant Professor in the School of Computing at KAIST, and directs KIXLAB (the KAIST Interaction Lab) [kixlab.org]. His research in human-computer interaction focuses on building interactive systems that support interaction at scale: crowdsourcing and human computation, online education and learning at scale, civic engagement and collective action, and interactive data analytics and mining. He creates interactive and collaborative technology that empowers conventionally passive populations—students receiving instruction and citizens influenced by social issues—to be active and self-directed participants who initiate deeper learning and collective action. He earned his Ph.D. from MIT in 2015, M.S. from Stanford University in 2010, and B.S. from Seoul National University in 2008. In 2015-2016, he was a Visiting Assistant Professor and a Brown Fellow at Stanford University. He is a recipient of KAIST’s Excellence in Teaching award, as well as 11 paper awards from ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, and AAAI HCOMP.

Abstract. With the recent advances in AI, more AI-powered systems have been designed to support people in various everyday tasks. The tension arises, however, when we apply state-of-the-art AI technology to a real-world task without careful consideration of users and their context. I argue that human-AI interaction should be considered a first-class object in designing AI-powered systems. In this talk, I’ll present a few novel interactive systems that use AI techniques to support everyday tasks such as learning, data analytics, and group discussion. I’ll discuss how human-AI interaction is considered in these systems, what tensions we encountered and how we addressed them, and how to design better intelligent and adaptive systems for real-world use.

문의 : 031-290-5828(인공지능학과)