图书情报知识 ›› 2023, Vol. 40 ›› Issue (1): 66-74.doi: 10.13366/j.dik.2023.01.066

• 学术聚焦 · 人工智能生成内容 • 上一篇    下一篇

人工智能生成内容(AIGC)的技术特征与形态演进

李白杨,白云,詹希旎,李纲   

  • 出版日期:2023-01-10 发布日期:2023-04-12

The Technical Features and Aromorphosis of Artificial Intelligence Generated Content (AIGC)

  • Online:2023-01-10 Published:2023-04-12

摘要: [目的/意义]多模态内容的富集涌现推动着技术模型的更新迭代。探讨和理解信息资源管理视角下人工智能生成内容(AIGC)的挑战与机遇,对AIGC未来的应用拓展和场景落地具有积极作用。[研究设计/方法]立足于互联网的演化发展,从网络形态演进、内容生产、人机交互模式、网络资源组织四个层面梳理了AIGC发展的基础条件。以数据赋值、模型赋智、空间赋能三个维度为着力点,分别探讨了AIGC的技术特征、技术要素和发展阶段。[结论/发现] AIGC与技术算法的融合应用,为信息资源管理的研究与实践带来了实质性的影响,具体表现在信息组织、数据资产管理、用户研究和信息伦理四个角度。[创新/价值]信息资源加持下的AIGC具有强大的生产力,为整个内容生态和创作模式带来了全新的尝试。分析其要素、特征和影响,有助于促进AIGC在信息资源管理领域的探索和实践。


关键词: 人工智能生成内容, 数据资产, 信息资源管理, 信息组织

Abstract: [Purpose/Significance] The enrichment and emergence of multi-modal content promote the updating and iteration of technical models.This paper discusses the challenges and opportunities of AI generated content(AIGC)from the perspective of information resource management,which will play a positive role in the future application expansion and scene landing of AIGC. [Design/Methodology] Based on the evolution and development of the Internet, this paper combs the basic conditions for the development of AIGC from four aspects: network form evolution, content production, interpersonal interaction mode, and network resource organization. Focusing on three dimensions of data assignment, model intelligence and space empowerment, this paper discusses the technical characteristics of AIGC, the technical elements founded on data, algorithms and computing power, and the development stages based on entity twinning, learning and creation, and real-time autonomous generation. [Findings/Conclusion] The integration of AIGC and technical algorithms has brought a substantial impact on the research and practice of information resource management, which is embodied in information organization, data asset management, user research and information ethics. [Originality/Value] AIGC, supported by information resources, has strong productivity, which has brought a new attempt to the entire content ecology and creation model, analyzing its elements, characteristics and impacts is helpful to promote the exploration and practice of AIGC in the field of information resource management.


Key words: Artificial Intelligence Generated Content(AIGC), Data asset, Information resources management, Information organization