生成式人工智能视阈下的出版前沿应用研究与趋势调查——基于扎根理论的综述研究
A Survey on the Research and Trends of Publishing Frontier Applications in the Threshold of Artificial Intelligence Generative Content—An Overview Study Based on Grounded Theory
摘要: 本文基于扎根理论,对生成式人工智能在出版领域的应用研究与发展趋势进行综述。研究发现,生成式人工智能技术极大地推动了出版业的数字化转型和智能化升级,但同时也带来了人才培养、技术融合、法律伦理框架构建以及风险防控等方面的挑战。通过对中国知网数据库中的相关文献进行严格的检索、筛选和编码分析,本研究提炼出三个核心前沿主题:人才培养策略与教育发展、技术融合路径与出版行业转型、法律伦理框架与风险防控;基于此,文章进一步提出了三个研究机会:生成式人工智能对行业主体的影响、生成式人工智能视域下的治理与风险防控以及生成式人工智能在出版知识管理中的作用。出版行业未来需要研究借助理论深耕与实践运用双轮驱动,深挖技术价值,激活出版行业创新“引擎”,释放增长潜能。
Abstract: Based on the grounded theory, this paper reviews the applied research and development trends of Artificial Intelligence Generative Content (AIGC) in the publishing field. It founds that AIGC technology greatly promotes the digital transformation and intelligent upgrading of the publishing industry, but also brings challenges in talent cultivation, technology integration, legal and ethical framework construction, risk prevention and control. Through rigorous searching, screening and coding analysis of relevant literature in the China Knowledge Network database, this study distills three core cutting-edge themes: talent cultivation strategy and education development, technology integration path and transformation of the publishing industry, and legal and ethical frameworks and risk prevention and control; based on which, the article further proposes three research opportunities: the impact of AIGC on the main body of the industry, the governance and risk prevention and control of AIGC perspective, and the governance and risk prevention and control of AIGC. governance and risk prevention and control, and the role of AIGC in publishing knowledge management. Based on this, future research needs to be driven by both theoretical deep plowing and practical application, digging deep into the value of technology, activating the “engine” of innovation in the publishing industry, and releasing growth potential.
文章引用:李瑞莹. 生成式人工智能视阈下的出版前沿应用研究与趋势调查——基于扎根理论的综述研究[J]. 社会科学前沿, 2026, 15(2): 223-232. https://doi.org/10.12677/ass.2026.152125

参考文献

[1] Goodfellow, I., Pouget-Abadie, J., Mirza, M., et al. (2014) Generative Adversarial Nets. Advances in Neural Information Processing Systems, 27, 2672-2680.
[2] 李嘉宁, 李梦竹. 生成式人工智能赋能传统出版: 逻辑、案例与进路[J]. 出版发行研究, 2024(8): 32-38.
[3] Huang, J. and Tan, M. (2023) The Role of ChatGPT in Scientific Communication: Writing Better Scientific Review Articles. American Journal of Cancer Research, 13, 1148-1154.
[4] Macdonald, C., Adeloye, D., Sheikh, A. and Rudan, I. (2023) Can ChatGPT Draft a Research Article? An Example of Population-Level Vaccine Effectiveness Analysis. Journal of Global Health, 13, Article No. 01003. [Google Scholar] [CrossRef] [PubMed]
[5] 方卿, 丁靖佳. 人工智能生成内容(生成式人工智能)的三个出版学议题[J]. 出版科学, 2023, 31(2): 5-10.
[6] 郭鹏, 李展鹏. 论复杂人工智能生成物在著作权法的定性——兼评“AI文生图著作权案” [J]. 科技与法律(中英文), 2024(4): 73-82.
[7] 王晰巍, 乌吉斯古楞, 刘宇桐, 等. 面向智能推荐的AI人机交互: 研究热点及未来机会[J]. 情报学报, 2023, 42(4): 495-509.
[8] 刘芳. 生成式人工智能快速发展时代科技期刊编辑价值升维策略[J]. 编辑学报, 2023, 35(S1): 111-116.
[9] 王美璇, 王冠, 王超. 媒体融合背景下AIGC为学术期刊带来的机遇、风险及应对措施: 以ChatGPT为例[J]. 传播与版权, 2023(18): 64-66.
[10] Golan, R., Reddy, R., Muthigi, A. and Ramasamy, R. (2023) Artificial Intelligence in Academic Writing: A Paradigm-Shifting Technological Advance. Nature Reviews Urology, 20, 327-328. [Google Scholar] [CrossRef] [PubMed]
[11] Homolak, J. (2023) Opportunities and Risks of Chatgpt in Medicine, Science, and Academic Publishing: A Modern Promethean Dilemma. Croatian Medical Journal, 64, 1-3. [Google Scholar] [CrossRef] [PubMed]
[12] 李雅筝. 生成式人工智能赋能下的数智出版人才培养[J]. 数字出版研究, 2024, 3(3): 3-4.
[13] 黄斌. 从技术自觉到文化自觉: 人工智能时代出版业的挑战和应对[J]. 传播与版权, 2024(16): 27-29.
[14] 梅贻哲, 董新义. 强人工智能的版权法风险与规制架构——以ChatGPT为例[J]. 科学与管理, 2024, 44(2): 68-75.
[15] 刘长明, 杨勇. 从赋能到融合: 人工智能在出版领域的应用[J]. 出版广角, 2024(13): 10-15.
[16] 胡玉玺, 王雨薇, 程海威. 智能出版: 智媒时代传统出版业务的转型升级方向[J]. 科技与出版, 2020(11): 56-63.
[17] 查鲁·C. 阿加沃尔. 人工智能: 原理与实践[M]. 杜博, 刘友发, 译. 北京: 机械工业出版社, 2022: 1.
[18] 陈燕. 人工智能生成内容版权归属选择——规则运行视阈下的价值取向[J]. 青岛远洋船员职业学院学报, 2023, 44(2): 6-10.
[19] 陆遐. 人工智能视角下出版行业的融合创新探讨[J]. 新闻传播, 2021(9): 57-59.
[20] 郑汉, 肖谦, 丁毅, 等. 出版从业人员对生成式人工智能技术的认知与使用现状调查[J]. 中国编辑, 2024(10): 36-47.
[21] 郭毅, 董鸣柯. 出版领域应用人工智能生成内容的文化安全风险与防范[J]. 出版发行研究, 2024(6): 31-38.
[22] 张文红, 由云静. 人工智能视域下我国出版教育的机遇与变革[J]. 出版广角, 2023(21): 40-44.
[23] 聂静, 宗利永. 内容生成式AI赋能教育出版知识服务的现实困境与优化路径[J]. 出版广角, 2023(15): 48-52.