인공지능연구회 (정보과학회 인공지능소사이어티 산하)

해외전문가 튜토리얼 – 설명가능한 인공지능 (eXplainable AI)

일시
2019년 8월 28일(수) 09:00~17:30
장소
성균관대학교 600주년기념관 5F 조병두 국제홀 (인문사회과학캠퍼스) 약도 보기
주관
한국정보과학회 인공지능연구회 (인공지능소사이어티 산하)
주최
성균관대학교 인공지능학과
후원
KAIST 스마트에너지인공지능연구센터, 인하대학교 ITRC 인공지능콘텐츠창작연구센터
대회장
이지형 교수 (성균관대, 인공지능연구회 위원장)
프로그램위원장
조근식 교수 (인하대)
조직위원장
최호진 교수 (KAIST)

프로그램

8월 28일(수): 설명가능한 인공지능 (eXplainable AI)
09:00 - 09:30 등록
09:30 - 10:30 Part I: Explanation in AI
Freddy Lecue (CortAIx at Thales, Canada)
10:30 - 11:30 Part II: Explanation in ML
Freddy Lecue (CortAIx at Thales, Canada)
11:30 - 12:30 Part III: On the Role of Semantics and Knowledge Graph in Explainable AI
Freddy Lecue (CortAIx at Thales, Canada)
12:30 - 14:00 점심 식사
14:00 - 16:00 Part IV: On the Role of Reasoning in Explainable AI
Pasquale Minervini (UCL, UK)
16:00 - 17:00 Part V: Industrial Applications of XAI
Freddy Lecue (CortAIx at Thales, Canada)
17:00 - 17:30 Part VI: Conclusion & QA
Freddy Lecue (CortAIx at Thales, Canada), Pasquale Minervini (UCL, UK)

연사 소개

Freddy Lecue

(Chief AI Scientist @Thales Canada, Research Associate @INRIA France)

Freddy Lecue

Dr. Freddy Lecue is the Chief Artificial Intelligence (AI) Scientist at CortAIx (Centre of Research & Technology in Artificial Intelligence eXpertise) at Thales in Montreal - Canada. He is also a research associate at INRIA, in WIMMICS, Sophia Antipolis - France. Before joining the new R&T lab of Thales dedicated to AI, he was AI R&D Lead at Accenture Labs in Ireland from 2016 to 2018. Prior joining Accenture he was a research scientist, lead investigator in large scale reasoning systems at IBM Research from 2011 to 2016, a research fellow at The University of Manchester from 2008 to 2011 and research engineer at Orange Labs from 2005 to 2008. For more information about him, see http://www-sop.inria.fr/members/Freddy.Lecue or @freddylecue.

Pasquale Minervini

(Senior Research Associate @UCL)

Pasquale Minervini

Pasquale is a Senior Research Associate at University College London (UCL), United Kingdom. He received a Ph.D. in Computer Science from University of Bari, Italy, with a thesis titled “Mining Methods for the Web of Data”. After obtaining his Ph.D., he worked as a postdoctoral researcher at University of Bari, and at the INSIGHT Centre for Data Analytics (INSIGHT). At INSIGHT, he worked in the Knowledge Engineering and DIscovery (KEDI) group, composed by researchers and engineers from INSIGHT and Fujitsu Ireland Research and Innovation. Over the course of his research career, Pasquale published peer-reviewed papers in top-tier AI conferences, receiving two best paper awards, participated to the organisation of a AAAI tutorial on Explainable AI, and was a guest lecturer at UCL and at the Summer School on Statistical Relational Artificial Intelligence. He is the main inventor of a patent application assigned to Fujitsu Ltd. For more information about him, see http://www.neuralnoise.com.


참가비

구분 사전등록 현장등록
학생 150,000원 200,000원
일반 250,000원 300,000원

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