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作 者:吕瑞娟 张静蓓[1] 严丹[1] 蔡迎春 LV Ruijuan;ZHANG Jingbei;YAN Dan;CAI Yingchun(Shanghai International Studies University,Shanghai 201620)
出 处:《农业图书情报学报》2023年第5期27-36,共10页Journal of Library and Information Science in Agriculture
基 金:上海外国语大学校级规划项目“新文科背景下人文学科的数字人文适用性与融合模式研究”(2021114024)。
摘 要:[目的/意义]近年来,AIGC技术在各文化记忆机构中的应用不断扩大、内容不断丰富、服务形式愈发多样。基于此背景“生成未来·AIGC与GLAM创新发展”前沿学术论坛成功举办,本文特对论坛内容进行梳理和总结,为图情从业者和相关研究人员提供参考和借鉴。[方法/过程]根据与会专家的报告主题,从AIGC的演进与发展现状、AIGC在GLAM多场景中的应用探索、AIGC与GLAM创新发展面临的风险挑战等几个方面进行分类归纳和内容综述。[结果/结论]AIGC将为图情领域智慧服务、数字人文研究、数字经济业态等领域的发展注入巨大活力,但同时也会在伦理道德、学术研究、知识产权、网络安全、法律法规等方面带来风险。我们需要正确并充分利用AIGC带来的宝贵机遇,加快推进文化产业的数字化转型和升级。[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
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