3/2 追記：
下記イベントはキャンセルされました。
This event has been canceled.
IEEE Computer Society Fukuoka Chapterでは、下記の講演会を開催いたします。
奮ってご参加ください。
記
【講演タイトル / Title】
“Some Shades of Grey!” – Interpretability and Explainability of Deep Neural Networks
【講演者 / Speaker】
Prof. Dr. Prof. h.c. Andreas Dengel
(ドイツ人工知能研究所テクニカルディレクタ)
【日時 / Date】
24th March 2020, 13:00-14:00 (+Q&A)
（令和2年3月24日（火）13：00～14：00＋質疑応答）
【場所 / Location】
Kyushu University Ito Campus, West 2building, 3F, 7th lecture room of ISEE
（九州大学伊都キャンパスウエスト２号館３Ｆシステム情報科学府第７講義室）
【講演概要 / Abstract】
Based on the availability of data and corresponding computing capacity, more and more cognitive tasks can be transferred to computers, which independently learn to improve our understanding, increase our problem-solving capacity or simply help us to remember connections. Deep neural networks in particular clearly outperform traditional AI methods and thus find more and more areas of application where they are involved in decision-making or even make decisions independently. For many areas, such as autonomous driving or credit allocation, the use of such networks is extremely critical and risky due to their “black box” character, since it is difficult to interpret how or why the models come to certain results. In this talk，I discuss and present various approaches that attempt to
understand and explain decision-making in deep neural networks.
【主催/Sponsor】
IEEE Computer Society Fukuoka Chapter
【協賛/Support】
Faculty of Information Science and Electrical Engineering, Kyushu University
（九州大学大学院システム情報科学研究院）
Education and Research Center for Mathematical and Data Science, Kyushu University
（九州大学数理・データサイエンス教育研究センター）
【お問い合わせ / Contact】
九州大学大学院システム情報科学研究院
内田誠一 uchida _at_ ait.kyushu-u.ac.jp (_at_を@に置き換えてください)