2018 International Explainable AI Symposium

Friday, October 12th, 2018

@ COEX Conference North ASEM Hall 202, Seoul KOREA


We are pleased to invite you to 2018 International Explainable AI Symposium sponsored by the Korea Government, Ministry of Science and ICT. There is growing interests on transparent AI technologies which could provide explanation of decisions. Recently, the Korea Government established an Explainable Artificial Intelligence (XAI) Center to build generally applicable XAI systems for healthcare and finance http://xai.unist.ac.kr/.

We invited top researchers/research organizations actively working on XAI problems. Prof. Klaus-Robert Müller (Director, Berlin Big Data Center) and Mr. David Gunning(Manager, the DARPA XAI Program) will deliver keynote speeches. Korean researchers who are actively working in the explainable AI project will present their work.

The symposium will be in Seoul Korea, October 12th, 2018 at Seoul COEX. We wish to see many of you in the symposium.

Program Chairs,
Jaesik Choi, Director of UNIST Explainable Artificial Intelligence Center
Seong-Whan Lee, Chairman of Korean Artificial Intelligence Association

Keynote Speakers

  • Klaus-Robert Müller
    Berlin Big Data Center

  • David Gunning


Time Title
9:30 - 10:00 Registration
10:00-10:20 - Welcome Message
       Seong-Whan Lee (Korean Artificial Intelligence Association)
- Congratulatory Message
       Yong-hyeon Gwon (Ministry of Science and ICT)
Session 1. Explainable AI and Its Impact to Our Daily Life
10:20-11:20 - Keynote 1. Introduction to the DARPA XAI Program
       David Gunning (DARPA)
11:20-12:00 - Explainable Artificial Intelligence for Medical Problems
       Kwang Joon Kim (Yonsei Severance Hospital)
- Action of Korean Companies According to European General Privacy Policy
       Kwang Bae Park (Lee & Ko)
12:00-13:20 Lunch
Session 2. Recent Advances in Explainable AI
13:20-14:20 - Keynote 2. Techniques to Explain Deep Learning Models
       Klaus-Robert Müller (Berlin Big Data Center)
14:20-15:10 - Explaining and Predicting Financial Time Series
       Jaesik Choi / Byungki Seo (UNIST)
- Machine learning Technology for Learning Causality of Decision Making
       Seongju Hwang / Eunho Yang (KAIST)
15:10-15:30 Coffee Break
Session 3. Practical Applications of Explainable AI
15:30-17:00 - Explaining the Decision of Autonomous Vehicles
- Visual and Textual Explanations of Healthcare Data
       Seong-Whan Lee / Heung-Il Suk (Korea Univ.)
- Real-world Applications of Explainable Artificial Intelligence in Healthcare
       Jinkyu Yoo (AItrics)
17:00-17:40 Panel Discussion : Future Directions of Explainable Artificial Intelligence Research and Practice
17:40-18:00 Closing Remarks

Registration fee Payment Methods
Pre-registration Adult ₩200,000 - After on-line registration, credit card or bank transfer
Student ₩100,000
On-site registration Adult ₩250,000 - Only credit card
Student ₩150,000

513, Yeongdong-daero, Gangnam-gu
Seoul 06164 Republic of Korea

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UNIST Explainable Artificial Intelligence Center / GyeongEun Lee / socool@unist.ac.kr / 052-217-2196
Korean Artificial Intelligence Association / SooJung Park / kaia@aiassociation.kr / 02-928-5920


Hosted by Ministry of Science and ICT, Institute for Information and communications Technology Promotion(IITP)
Organized by UNIST Explainable Artificial Intelligence Center, Korean Artificial Intelligence Association