文化与科技融合视角下生成式人工智能赋能博物馆知识传播的路径探究OA
Pathways of Generative AI Empowering Museum Knowledge Dissemination from the Perspective of Culture-Technology Integration
生成式人工智能在博物馆知识传播领域的应用,受国家政策、技术进步与观众诉求三重因素影响,本质上要求传统文化与智能技术的深度融合.智能交互式讲解、AIGC创意短视频和AI互动播客是当前博物馆对生成式人工智能的典型应用形式,但这些实践面临来自技术视觉吸引力、数据偏差与算法偏见、伦理价值、需求偏差与话语壁垒的挑战.据此,本研究提出博物馆应从坚持文化价值引领、深化文化与技术融合、建立数据共享机制和加强风险防范四个方面入手,促进博物馆文化使命、技术机构业务逻辑与用户使用需求的有机统一,从而提高知识传播的效度与效率,助力博物馆更好地实现文化传播的使命.
The application of generative artificial intelligence in the field of knowledge dissemination in museums is influenced by three factors:national policies,technological advancements,and audience demands.Essentially,it requires the deep integration of traditional culture and intelligent technologies.Intelligent interactive interpretation,AIGC short videos,and AI interactive podcasts are the typical forms of generative AI currently used in museums.However,these practices face challenges related to technological visual appeal,data bias and algorithmic bias,ethical values,and misaligned demands with discourse barriers.It's therefore proposed that museums should insist promote the organic unity of the cultural mission of museums,the operational logic of technical institutions,and the needs of users by guiding cultural values,deepening the integration of culture and technology,establishing data-sharing mechanisms,and strengthening risk prevention,thus to enhance the effectiveness and efficiency of knowledge dissemination and help museums better fulfill their mission of cultural communication.
姜倩倩
故宫博物院
生成式人工智能博物馆知识传播
generative artificial intelligencemuseumknowledge dissemination
《科学教育与博物馆》 2026 (3)
121-130,10
本文系故宫文化遗产保护与传承实验室专项课题成果.
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