中文    English

Journal of Library and Information Science in Agriculture ›› 2023, Vol. 35 ›› Issue (5): 27-36.doi: 10.13998/j.cnki.issn1002-1248.23-0424

Previous Articles     Next Articles

Innovative Development of AIGC and GLAM: Review of "Shaping the Future: AIGC and GLAM Innovative Development" Cutting-Edge Academic Forum

LV Ruijuan, ZHANG Jingbei, YAN Dan, CAI Yingchun*   

  1. Shanghai International Studies University, Shanghai 201620
  • Received:2023-05-01 Online:2023-05-05 Published:2023-07-26

Abstract: [Purpose/Significance] The new generation of generative artificial intelligence technology and its applications have entered a new stage of development. Models such as ChatGPT are leading the way in model-driven content generation, ushering in a new era and attracting discussions and attention from various sectors. Currently, there is a wealth of research on artificial intelligence from the perspectives of technological advancements, machine language, algorithm models, application scenarios and so on. However, there are relatively fewer articles specifically focusing on the application of AI generated content (AIGC) in GLAM fields, such as galleries, libraries, art museums. AI in the GLAM field is currently undergoing a transition from digitization to intelligentized level. Therefore, this paper explores the multi-scenario innovative applications of AI in the GLAM field with the theme of "Shaping the Future: AIGC and GLAM Innovative Development", which aims to contribute to the innovation research of AI and cultural, development and provide valuable insights in this field. [Method/Process] The structure of this paper consists of three parts: the evolution and current status of AIGC, the exploration of AIGC's applications in various scenarios within the GLAM field, the risks and challenges faced by AIGC and GLAM in terms of innovative development. Firstly the article provides a brief introduction to the development history of artificial intelligence, the concept of AIGC, algorithm models, typical features, and its current development status both domestically and internationally. Secondly, it presents a review and summary of existing application cases of AIGC in the GLAM field, including the use of virtual scenarios, virtual IP idols, ancient book OCR technology, VR/AR experiences in the fields of image analysis, digital humanities research, and new formats of digital cultural industries. The article analyzes how AIGC enriches the content production, innovation, and user interaction modes, as well as resource management models within GLAM. It also highlights the potential significant advantages in specific areas such as digital individuals, digital collections, and digital media. Lastly, the paper addresses the potential risks and challenges that may arise during the process of AIGC and GLAM's innovative development. These challenges encompass technical aspects, algorithmic biases, network information security, ethical and moral considerations, academic research, publishing and legal regulations. [Results/Conclusions] AIGC possesses advantages such as high efficiency, intelligence, and immersive experiences. It not only brings about transformative changes in content within the GLAM field but also breaks free from traditional interactive modes characterized by singularity and flatness in user engagement. By leveraging technologies such as VR/AR, virtual digital characters, and virtual spaces, AIGC enables diverse and three-dimensional interaction models with customs, thereby significantly expanding the applications in the GLAM field. If we appropriately and fully utilize the valuable opportunities presented by AIGC, it can play a positive role in inheriting and promoting the Chinese excellent civilization and cultural heritage. Furthermore, it will also play a crucial role in accelerating the digital transformation and upgrading of the cultural industry.

Key words: artificial intelligence, AIGC, ChatGPT, GLAM, digital humanities

CLC Number: 

  • G203
[1] 李农. 欧美图书馆、博物馆、档案馆馆际合作趋势[J]. 图书馆杂志, 2008, 27(8): 59-61, 37.
LI N.The tendency of cooperation among library, museum and archives in Europe and America[J]. Library journal, 2008, 27(8): 59-61, 37.
[2] 李白杨, 白云, 詹希旎, 等. 人工智能生成内容(AIGC)的技术特征与形态演进[J]. 图书情报知识, 2023, 40(1): 66-74.
LI B Y, BAI Y, ZHAN X N, et al.The technical features and aromorphosis of artificial intelligence generated content(AIGC)[J]. Documentation, information & knowledge, 2023, 40(1): 66-74.
[3] 张夏恒. ChatGPT的逻辑解构、影响研判及政策建议[J]. 新疆师范大学学报(哲学社会科学版), 2023, 44(5): 113-123.
ZHANG X H.ChatGPT: Logic of operation, impact analysis and policy recommendations[J]. Journal of Xinjiang normal university (philosophy and social sciences), 2023, 44(5): 113-123.
[4] 张智雄. 在人工智能时代贡献文献情报领域的智慧和方案[J]. 农业图书情报学报, 2023(1): 4-28.
ZHANG Z X.Information resource management researchers' thinking about the opportunities and challenges of AIGC[J]. Journal of library and information science in agriculture, 2023(1): 4-28.
[5] 詹希旎, 李白杨, 孙建军. 数智融合环境下AIGC的场景化应用与发展机遇[J]. 图书情报知识, 2023, 40(1): 75-85, 55.
ZHAN X N, LI B Y, SUN J J.Application scenarios and development opportunities of AIGC in the digital intelligence integration environment[J]. Documentation, information & knowledge, 2023, 40(1): 75-85, 55.
[6] 人工智能生成内容(AIGC)白皮书(2022)[EB/OL]. [2023-06-26]. http://www.caict.ac.cn/sytj/202209/t20220913_408835.htm.
[7] 王诺, 毕学成, 许鑫. 先利其器:元宇宙场景下的AIGC及其GLAM应用机遇[J]. 图书馆论坛, 2023, 43(2): 117-124.
WANG N, BI X C, XU X.AIGC in metaverse scenarios and its application in GIAM[J]. Library tribune, 2023, 43(2): 117-124.
[8] 赵瑞雪, 黄永文, 马玮璐, 等. ChatGPT对图书馆智能知识服务的启示与思考[J]. 农业图书情报学报, 2023, 35(1): 29-38.
ZHAO R X, HUANG Y W, MA W L, et al.Insights and reflections of the impact of ChatGPT on intelligent knowledge services in libraries[J]. Journal of library and information science in agriculture, 2023, 35(1): 29-38.
[9] 张智雄, 曾建勋, 夏翠娟, 等. 回应AIGC的信息资源管理学人思考[J]. 农业图书情报学报, 2023, 35(1): 4-28.
ZHANG Z X, ZENG J X, XIA C J, et al.Information resource man-agement researchers' thinking about the opportunities and challenges of AIGC[J]. Journal of library and information science in agriculture, 2023, 35(1): 4-28.
[10] COX C, TZOC E.ChatGPT: Implications for academic libraries[J]. College & research libraries news, 2023, 84(3): 99-102.
[11] 国务院关于印发“十四五”数字经济发展规划的通知[EB/OL]. [2023-06-13].https://www.gov.cn/gongbao/content/2022/content_5671108.htm?eqid=f41ef9280010e02e00000003645c9839.
[12] 文化和旅游部关于推动数字文化产业高质量发展的意见[EB/OL]. [2023-06-13].https://www.gov.cn/zhengce/zhengceku/2020-11/27/content_5565316.htm.
[13] 江丽萍, 江彬彬, 张晖, 等. 高校图书馆GLAM Labs融合创新实践启示——基于国外案例调研分析[J]. 晋图学刊, 2022(4): 25-31.
JIANG L P, JIANG B B, ZHANG H, et al.Implications of university library GLAM labs incorporateing innovative practice - Based on foreign cases research and analysis[J]. Shanxi library journal, 2022(4): 25-31.
[14] 王东波, 刘畅, 朱子赫, 等. SikuBERT与SikuRoBERTa:面向数字人文的《四库全书》预训练模型构建及应用研究[J]. 图书馆论坛, 2022, 42(6): 31-43.
WANG D B, LIU C, ZHU Z H, et al.Construction and application of pre-trained models of siku Quanshu in orientation to digital humanities[J]. Library tribune, 2022, 42(6): 31-43.
[15] 文化和旅游部关于印发2021年《“十四五”文化和旅游科技创新规划》的通知[EB/OL].[2023-06-26].https://zwgk.mct.gov.cn/zfxxgkml/kjjy/202106/t20210611_925154.html.
[16] GUARINO M, PALMA M A, MENINI T, et al.Digital transformation of cultural institutions: A statistical analysis of Italian and Campania GLAMs[J]. Quality & quantity, 2020, 54(5/6): 1445-1464.
[17] 夏翠娟. AIGC 与文化遗产资源的智慧化加工及服务[J]. 农业图书情报学报, 2023, 35(1): 11-15, 27-28.
XIA C J. The intelligent processing and services of cultural heritage resources through AIGC[J]. Journal of library and information sci-ence in agriculture, 2023, 35(1): 11-15, 27-28.
[18] 陈昌凤, 张梦. 由数据决定?AIGC的价值观和伦理问题[J]. 新闻与写作, 2023(4): 15-23.
CHEN C F, ZHANG M.Determined by the data? AIGC's values and ethical issues[J]. News and writing, 2023(4): 15-23.
[19] 史惠斌, 郭泽德. 迈向智能:AIGC内容生成模式引发的出版变革[J]. 数字出版研究, 2023, 2(2): 34-42.
SHI H B, GUO Z D.Towards intelligence: Revolution in publishing caused by AIGC content generation mode[J]. Digital publishing research, 2023, 2(2): 34-42.
[20] ROZADO D.The political biases of ChatGPT[J]. Social sciences, 2023, 12(3): 148.
[21] 方卿, 丁靖佳. 人工智能生成内容(AIGC)的三个出版学议题[J]. 出版科学, 2023, 31(2): 5-10.
FANG Q, DING J J.Three publishing topics concerning artificial intelligence generated content[J]. Publishing journal, 2023, 31(2): 5-10.
[22] RAHIMI F, TALEBI BEZMIN ABADI A. ChatGPT and publication ethics[J]. Archives of medical research, 2023, 54(3): 272-274.
[23] 于文轩, 吴泳钊. AIGC与敏捷监管[J]. 信息技术与管理应用, 2023, 2(2): 2.
YU W X, WU Y Z.AIGC and agile governance[J]. Information technology and management application, 2023, 2(2): 2.
[1] LI Tian, ZHAO Ruixue, XIAN Guojian, KOU Yuantao. Agricultural Intelligent Knowledge Services to Enable Rural Revitalization: Internal Mechanism and Dilemma Relief [J]. Journal of Library and Information Science in Agriculture, 2023, 35(8): 43-54.
[2] ZHANG Jianing, SONG Xigui. ChatGPT and the Its Impact on the Development Trends of the Library Field [J]. Journal of Library and Information Science in Agriculture, 2023, 35(8): 19-29.
[3] FU Rongxin, YANG Xiaohua. Analysis of AIGC Language Models and Application Scenarios in University Libraries [J]. Journal of Library and Information Science in Agriculture, 2023, 35(7): 27-38.
[4] WANG Chao, KONG Xianghui. Application of Large-scale Pre-Training Language Model in Network Health Information Identification [J]. Journal of Library and Information Science in Agriculture, 2023, 35(6): 51-59.
[5] SHAN Shuyang, XIA Cuijuan, LIU Qianqian. Exploration of Genealogy Public Knowledge Service Model with the Resources and Technology: Taking the Exhibition Project of "AR Surname Wall" as an Example [J]. Journal of Library and Information Science in Agriculture, 2023, 35(6): 83-92.
[6] MA Lecun, ZHAN Xini, ZHU Qiyu, SUN Rong, LI Baiyang. Digital Intelligence Integration Innovation Development of GLAM Driven by AIGC [J]. Journal of Library and Information Science in Agriculture, 2023, 35(5): 4-15.
[7] SHOU Jianqi. Towards Known Unknowns: GPT Large Language Models Empower Human-Centered Information Retrieval [J]. Journal of Library and Information Science in Agriculture, 2023, 35(5): 16-26.
[8] XIAO Keyi, LI Yunfan. Present Situation and Enlightenment of Chinese University Libraries' Participation in Digital Humanistic Educational Service from the Perspective of Supply and Demand Matching [J]. Journal of Library and Information Science in Agriculture, 2023, 35(5): 37-50.
[9] ZHAO Ruixue, HUANG Yongwen, MA Weilu, DONG Wenjia, XIAN Guojian, SUN Tan. Insights and Reflections of the Impact of ChatGPT on Intelligent Knowledge Services in Libraries [J]. Journal of Library and Information Science in Agriculture, 2023, 35(1): 29-38.
[10] ZHANG Zhixiong, ZENG Jianxun, XIA Cuijuan, WANG Dongbo, LI Baiyang, CAI Yingchun. Information Resource Management Researchers' Thinking about the Opportunities and Challenges of AIGC [J]. Journal of Library and Information Science in Agriculture, 2023, 35(1): 4-25.
[11] GUO Weijia. Influencing Factors of Artificial Intelligence Readiness in Libraries [J]. Journal of Library and Information Science in Agriculture, 2022, 34(5): 47-56.
[12] HUANG Shuiqing, WANG Xiaoguang, XIA Cuijuan, OUYANG Jiang. Advancing the Work on Ancient Classics in the New Era and Accelerating Innovative and Intelligent Development [J]. Journal of Library and Information Science in Agriculture, 2022, 34(5): 4-20.
[13] CHEN Wen, WANG Dongliang, XU Yunhao, CHEN Yuping, YANG Youqing. The Construction of Metadata Model for Digital Resources of Cultural Creativity Works [J]. Journal of Library and Information Science in Agriculture, 2022, 34(12): 77-86.
[14] SHANG Hongli, ZHANG Sijie, WEI Zhipeng, YANG Kehu, ZHOU Wenjie. Evidence Integration Framework of Evidence-based Digital Humanities [J]. Journal of Library and Information Science in Agriculture, 2022, 34(11): 38-47.
[15] LIN Zhuo, HUANG Haohai. Top Experts Identification and Evaluation of International Cooperation on Artificial Intelligence in China [J]. Journal of Library and Information Science in Agriculture, 2022, 34(1): 86-95.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!