| Presentation | 2021-10-08 [Tutorial Lecture] The Past and The Future of Explainable AI Techniques Yoshitaka Kameya, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Machine learning models of high predictive performance, such as deep neural networks and ensemble models, now play a central role in the current artificial intelligence technologies, and have started to be applied to the problems related to our health or properties. However, one of the primary obstacles here is the opacity of such high-performance models. So far, dozens of techniques for reducing the opacity have been explored, and form a research field called ``explainable aritificial intelligence (XAI).'' In this paper, I review the past literature on XAI, organize key concepts and techniques in the current XAI research, and discuss the future direction of XAI. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | explainable AI / XAI / machine learning / deep learning |
| Paper # | SIS2021-17 |
| Date of Issue | 2021-09-30 (SIS) |
| Conference Information | |
| Committee | SIS / ITE-BCT |
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| Conference Date | 2021/10/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. |
| Chair | Noriaki Suetake(Yamaguchi Univ.) / Kyoichi Saito(NHK) |
| Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) / Hidekazu Murata(Kyoto Univ.) / Hajime Saito(TV Tokyo) |
| Secretary | Tomoaki Kimura(National Inst. of Tech., Ube College) / Naoto Sasaoka(NTT) / Hidekazu Murata(NHK) / Hajime Saito(TV Asahi) |
| Assistant | Soh Yoshida(Kansai Univ.) / Yoshiaki Makabe(Kanagawa Inst. of Tech.) / Hiroshi Tsutsui(Hokkaido Univ.) / Akihiro Tanabe(NTT) / Toshimitsu Kobayashi(NBN) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems / Technical Group on Broadcasting and Communication Technologies |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Tutorial Lecture] The Past and The Future of Explainable AI Techniques |
| Sub Title (in English) | |
| Keyword(1) | explainable AI |
| Keyword(2) | XAI |
| Keyword(3) | machine learning |
| Keyword(4) | deep learning |
| 1st Author's Name | Yoshitaka Kameya |
| 1st Author's Affiliation | Meijo University(Meijo Univ.) |
| Date | 2021-10-08 |
| Paper # | SIS2021-17 |
| Volume (vol) | vol.121 |
| Number (no) | SIS-190 |
| Page | pp.pp.36-41(SIS), |
| #Pages | 6 |
| Date of Issue | 2021-09-30 (SIS) |