Documentation, Informaiton & Knowledge ›› 2023, Vol. 40 ›› Issue (5): 77-86,27.doi: 10.13366/j.dik.2023.05.077

• Academic Focus(2): Artificial Intelligence Generated Content(AIGC)and Publishing • Previous Articles     Next Articles

Application Scenarios, Risk Challenges and Regulatory Pathways of Generative Intelligent Publishing

ZHANG Xinxin1, HUANG Ruhua2   

  1. 1. College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, 200000;
    2. School of Information Management, Wuhan University, Wuhan, 430072
  • Online:2023-09-10 Published:2023-10-22
  • Contact: Correspondence should be addressed to ZHANG Xinxin,,ORCID: 0009-0007-5466-3589
  • Supported by:
    This is an outcome of the Major Project "Theoretical Innovation and Practical Path of Government Information Disclosure to Data Openness in China"(22&ZD329)supported by National Social Science Foundation of China, and the project of National Standard of "Cultural Product Virtual Reality(VR)Technology Application Requirements"(ZHCB202301)supported by the National Press and Publication Administration's Smart Publishing and Knowledge Service Key Laboratory.

Abstract: [Purpose/Significance] The emergence of ChatGPT and its generative AI technology has given rise to a new industry of generative intelligent publishing. The multidimensional exploration on generative intelligent publishing can reveal its application scenarios, risk challenges, and regulatory paths. [Design/Methodology] Based on the technical application principles and application characteristics of generative AI technology, this study explores the application scenarios, risk challenges, and regulatory paths of generative intelligent publishing. [Findings/Conclusion] The application scenarios of generative intelligent publishing include five categories: publishing big data and large language models, dimensional development of intelligent knowledge services, intelligent robots in the field of intelligent decision-making publishing, generative intelligent publication, and new business formats of metaverse publishing.Generative intelligent publishing faces challenges in data source and data output, academic ethical norms, adherence to core values, and substitution of human occupations, etc. In view of these challenges,corresponding regulatory paths are proposed from the perspective of regulation and governance. [Originality/Value] In the face of the digital age empowered by generative AI technology, it is of great significance to explore its enabling role and deep impact on publishing for promoting the high-quality development and modernization of publishing.

Key words: ChatGPT, Intelligent publishing, Generative AI, Intelligent publishing regulation, Digital publishing, Metaverse publishing, AIGC(Artificial Intelligence Generated Content)