图书情报知识 ›› 2024, Vol. 41 ›› Issue (4): 98-109.doi: 10.13366/j.dik.2024.04.098

• 图书、文献与交流 • 上一篇    下一篇

生成式AI在传统文化传播中的媒介呈现与风险治理

张奎1, 王秀伟2   

  1. 1.北京交通大学语言与传播学院,北京,100044;2.中国海洋大学文学与新闻传播学院,青岛,266100
  • 出版日期:2024-07-10 发布日期:2024-08-05
  • 通讯作者: 王秀伟(ORCID:0009-0000-2227-0253),博士,副教授,研究方向:公共文化服务、文化传承发展,Emai:godshowway2021@163.com。
  • 作者简介:张奎(ORCID:0009-0004-6607-0789),博士,讲师,研究方向:传统文化数字化传播,Email:kuizhang@bjtu.edu.cn。

Media Presentation and Risk Management of Generative AI Within Traditional Culture Communication

ZHANG Kui1, WANG Xiuwei2   

  1. 1. School of Language and Communication, Beijing Jiaotong University, Beijing, 100044; 2. School of Literature and Journalism, Ocean University of China, Qingdao, 266100
  • Online:2024-07-10 Published:2024-08-05
  • Contact: Correspondence should be addressed to WANG Xiuwei, Email:godshowway2021@163.com, ORCID:0009-0000-2227-0253

摘要: [目的/意义]生成式AI作为新兴媒介形态,对传统文化传播具有重塑媒介结构和社会情境的双重作用。研究生成式人工智能的媒介呈现与风险治理,对于传统文化的智能媒介传播、中国特色数字文明和中华民族现代文明建设具有意义。[研究设计/方法]采用参与观察、案例分析等方法,结合媒介学、符号学等理论,从媒介呈现、风险因素及风险治理三个维度探讨生成式AI在传统文化传播领域的应用。[结论/发现]生成式AI在媒介物质、媒介互动、媒介符号、媒介时间、媒介空间等方面对传统文化传播产生着复杂影响,存在着文化准确性、真实性及完整性不足,文化价值冲突与创造性降低,文化偏见与不平等,侵权与商业化过度等方面风险,这亟待监管机构、服务提供者、文化文物单位、使用者等多主体参与协同治理。[创新/价值]从生成式AI角度审视传统文化传播的理论逻辑,并提出风险因素及多方协同治理的对策。


关键词: 生成式AI, 人工智能, 人工智能生成内容(AIGC), 传统文化, 风险治理

Abstract: [Purpose/Significance] The emergence of Generative AI as a new media form, plays a dual impact on the reshaping the media structure and the social context of traditional cultural communication. Researching on media presentation and risk management of Generative AI holds significance in facilitating intelligent dissemination of traditional cultural, fostering digital humanities with distinct Chinese characteristics, and constructing modern Chinese civilization. [Design/Methodology] By using participatory observation and case analysis, combined with relevant theories of media science and semiotics, this study explores the application of Generative AI in the field of traditional cultural communication from three dimensions of media presentation, risk factors and risk governance. [Findings/Conclusion] Generative AI has a complex impact on the dissemination of traditional culture in media material, media interaction, media symbols, media time, media space and other aspects, and there are risks such as insufficient cultural accuracy, authenticity and completeness, cultural value conflicts and creativity reduction, cultural bias and inequality, infringement and excessive commercialization, etc. This requires the collaborative governance participated by multiple stakeholders such as regulatory agencies, service providers, cultural heritage units and users. [Originality/Value] This paper examines the theoretical rationale behind traditional cultural communication from the perspective of Generative AI, and proposes multi-party collaborative governance strategies for potential risks.


Key words: Generative AI, Artificial intelligence, Artificial Intelligence Generated Content(AIGC), Traditional culture, Risk governance