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| Paper Abstract and Keywords | ||
| Presentation | 2019-11-30 16:35 City and corporate governance of the use of Artificial Intelligence -- Sustainable smart cities implementation through Systems Approach and Machine Learning Systems Engineering -- Hiroyuki Ogura, Shunsuke Managi (Kyushu Univ.), Masahiko Ishino (Bunkyo Univ.)  SWIM2019-24 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we consider a city and corporate governance model of the use of new digital technologies including Artificial Intelligence. And we also refer to various AI guidelines in Japan and overseas, such as the “human-centered AI principles” adopted at the Trade and Digital Economy Ministers' Meeting in 20 countries / regions (G20) held in June this year. First of all, we organize the latest trends of urban smart city reference architecture and urban OS (data platform) using AI. Next, we examined the discussions of the Japan Cabinet Secretariat,”Social Principles of Human-Centric AI”, the European Commission,”Ethics Guidelines for Trustworthy AI,“ and “International Standardization of AI Governance”, and consider governance implications of the use of AI by organization. Furthermore, we consider a governance model of AI system and the implementation model of governance (corporate governance) of the entire IT system including AI. And as a sustainable smart city implementation by the use of AI, we propose a system integration by software / machine learning systems engineering and a social implementation (business model) of “AI data ecosystem” by systems approach. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | artificial intelligence / machine learning systems engineering / systems approach / governance of information technology / big data / ethical and societal concerns / ecosystem / business model | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 319, SWIM2019-24, pp. 29-36, Nov. 2019. | |
| Paper # | SWIM2019-24 | |
| Date of Issue | 2019-11-23 (SWIM) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SWIM2019-24 |
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| Conference Information | |
| Committee | SWIM |
| Conference Date | 2019-11-30 - 2019-11-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | TUS Kagurazaka Campus Fujimi Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Management and Internet Technology, general |
| Paper Information | |
| Registration To | SWIM |
| Conference Code | 2019-11-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | City and corporate governance of the use of Artificial Intelligence |
| Sub Title (in English) | Sustainable smart cities implementation through Systems Approach and Machine Learning Systems Engineering |
| Keyword(1) | artificial intelligence |
| Keyword(2) | machine learning systems engineering |
| Keyword(3) | systems approach |
| Keyword(4) | governance of information technology |
| Keyword(5) | big data |
| Keyword(6) | ethical and societal concerns |
| Keyword(7) | ecosystem |
| Keyword(8) | business model |
| 1st Author's Name | Hiroyuki Ogura |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Shunsuke Managi |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Masahiko Ishino |
| 3rd Author's Affiliation | Bunkyo University (Bunkyo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-11-30 16:35:00 |
| Presentation Time | 55 minutes |
| Registration for | SWIM |
| Paper # | SWIM2019-24 |
| Volume (vol) | vol.119 |
| Number (no) | no.319 |
| Page | pp.29-36 |
| #Pages | 8 |
| Date of Issue | 2019-11-23 (SWIM) |
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