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Paper Abstract and Keywords
Presentation 2024-11-08 16:50
Fostering Collective Intelligence within the Organization by Accumulating and Sharing Dialogue Logs with the Generative AI
Shoma Hino, Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (KUT), Masahide Nakamura (Kobe Univ.) KBSE2024-28 SC2024-31
Abstract (in Japanese) (See Japanese page) 
(in English) With the rapid advancement of generative AI in recent years, AI-driven interactions are being employed as problem-solving methods across a wide range of fields. However, the effectiveness of these solutions heavily depends on the user’s ability to craft prompts, often resulting in scenarios where the full potential of generative AI is not fully realized. Furthermore, while dialogue logs from AI interactions hold significant value when solving problems, they are often left unused and rarely revisited. To address this issue, we propose a method to develop an application that accumulates and shares AI dialogue logs, including scores and contextual information, to foster collective intelligence. Through practical implementation within an organization, we evaluate the benefits and limitations of this approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Collective Intelligence / Generative AI / Application Development / LLM / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 245, SC2024-31, pp. 50-55, Nov. 2024.
Paper # SC2024-31 
Date of Issue 2024-11-01 (KBSE, SC) 
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 KBSE2024-28 SC2024-31

Conference Information
Committee SC KBSE  
Conference Date 2024-11-08 - 2024-11-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Kochi-City Culture Plaza CUL-PORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To SC 
Conference Code 2024-11-SC-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Fostering Collective Intelligence within the Organization by Accumulating and Sharing Dialogue Logs with the Generative AI 
Sub Title (in English)  
Keyword(1) Collective Intelligence  
Keyword(2) Generative AI  
Keyword(3) Application Development  
Keyword(4) LLM  
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1st Author's Name Shoma Hino  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Takuya Nakata  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Sinan Chen  
3rd Author's Affiliation Kobe University (Kobe Univ.)
4th Author's Name Sachio Saiki  
4th Author's Affiliation Kochi University of Technology (KUT)
5th Author's Name Masahide Nakamura  
5th Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2024-11-08 16:50:00 
Presentation Time 25 minutes 
Registration for SC 
Paper # KBSE2024-28, SC2024-31 
Volume (vol) vol.124 
Number (no) no.244(KBSE), no.245(SC) 
Page pp.50-55 
#Pages 6 
Date of Issue 2024-11-01 (KBSE, SC) 

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