In the transformation driven by intelligent algorithms, publishing houses are facing the opportunities and pains of strategic transformation as "builders of intelligent knowledge ecology". Under the wave of intelligent technology formed by the deep integration of artificial intelligence, big data, cloud computing and blockchain technology, how can publishing houses break free from the traditional shackles and embrace digital transformation?
At the recently held 2025 press and publication unit digital publishing department director alliance meeting and the 15th China International Digital Publishing Expo preparatory seminar, experts and scholars around the theme of "artificial intelligence + publishing", sharing technological innovation and practical cases. The reporter of "China Press, Publication, Radio and Television" felt at the scene that from the intelligent upgrade of digital textbooks to the precise application of AI review system, from multi-modal content generation to personalized reading services, artificial intelligence is becoming an engine to promote the high-quality development of the publishing industry.
Relying on high-quality resources and deep integration of AI technology
Digital textbooks are the core carrier of educational informatization transformation, and the diversification of training standards in colleges and universities and the change of students' learning methods have also promoted the development of digital textbooks. Xu Jianmei, deputy director of the Digital Textbook Department of the People's Health Electronic Audio-visual Publishing House, believes that digital textbooks are not only carriers of knowledge content, but also can assist in the implementation and evaluation of teaching, with diversified functions and support a more personalized teaching model. In the context of the development of artificial intelligence technology, the advantages of digital textbooks in the way of knowledge organization are more prominent, which provides an important starting point for the digitalization of education. The integration of digital textbook construction and advanced technologies such as artificial intelligence can improve the teaching effect and student learning experience.
Relying on high-quality teaching resources, digital tools are helping colleges and universities break through traditional teaching boundaries, accumulate characteristic curriculum resources, and provide innovative support for the cultivation of high-quality talents in the new era. Shang Qikun, CEO of Beijing Foreign Research Online Digital Technology Co., Ltd., introduced that relying on the iPublish digital textbook publishing platform, Foreign Research Online has created a digital textbook publishing solution, and provided a full range of tools and service support for the compilation, review, publication and monitoring of digital textbooks by building an intelligent, school-based and scenario-based digital textbook system, so as to improve the publishing quality and efficiency of digital textbooks.
In addition, through the deep integration of DeepSeek's deep semantic understanding and foreign language subject data resources, the whole chain of foreign language teaching wisdom center of "teaching resources, teaching design, teaching evaluation, learning situation analysis, and personalized feedback and counseling" in the field of foreign language education has been formed, making AI truly become an "efficiency accelerator" and "innovative practice partner" for foreign language teachers.
Today, the wide application of digital technology and artificial intelligence has brought digital revolution and industrial upgrading to various industries and fields around the world. The publication of foreign language textbooks should also respond to the changes in the industry of digital and intelligent integration and development.
Wang Fang, President of Foreign Language Teaching and Research Press, believes that digitalization and intelligence have upgraded the knowledge carrier to multimodality, and the characteristics and advantages of the intelligent digital textbook system in terms of resource organization will be more prominent. "MOOC and other resource forms continue to broaden the boundaries of knowledge, promote the disintermediation of textbook interpretation, so that the interpretation of textbooks is not subject to the difference in teacher level, and provides an effective way to promote educational equity, improve teaching efficiency and education quality." Wang Fang said.
Apply AI large models to build intelligent review scenarios
The application of the intelligent moderation system in the publishing industry covers the review of text, images, audio, video and documents, and these functions effectively improve the efficiency of editors and the quality of content.
Ji Jing, vice president of Beijing Xingong Bote Intelligent Technology Co., Ltd., believes that the use of the latest large model technology, through context recognition and speech recognition functions, has significantly improved the efficiency of publishing house editing and the accuracy of content review, and the overall efficiency can be increased by 40% to 0%.
In addition, through strategies such as knowledge base plug-in and industry fine-tuning, it meets the needs of publishing houses in different scenarios. By accessing resources such as national cultural databases, industry information can be obtained, marketing strategies and reference query methods can be optimized, thereby greatly reducing workload and improving efficiency.
Ji Jing believes that in the era of artificial intelligence, the key to large model training lies in the correctness of the corpus, and publishing houses naturally have the advantage of building high-quality semantic databases because of the accuracy of their published content. However, there is a risk of copyright infringement by using publisher content for large model training without permission. Therefore, publishers should find small incisions, that is, specific fields or topics, and train their own large models to protect their own rights and interests and continuously improve the model capabilities.
What are the application practices of AI large models in intelligent review scenarios? Zhang Xiaojuan, vice president of R&D of Mido Technology Co., Ltd., introduced that the large model of text revision proofreading developed by the company has good performance in specific scene proofreading such as simplified and traditional Chinese translation, traditional text proofreading, and ancient Chinese punctuation correction. The application scenarios of the Wenxiu model in the publishing industry also include "quality inspection and proofreading" assisted review and "digital content" assisted review, which can proofread video screens, subtitles, text, sound, etc., conduct basic review of typos, grammatical errors, knowledge errors, pinyin graphics and text consistency, etc., conduct content review of sensitive elements, black screens, maps, etc., and finally automatically generate a review report.
AI models are reshaping the entire publishing process and promoting the transformation of content production methods. He Zhaohui, project manager of Tongfang CNKI Digital Publishing Center, told reporters that in terms of creation, the use of artificial intelligence for paper writing, book publishing, and audio and video production has become very common. In terms of publishing, AI can assist publishers in compiling, editing, reviewing, typesetting, distribution, and evaluation. In terms of services, users can get the knowledge they need through direct Q&A with the AI.
The AI editing assistant can also provide editors, proofreaders, and publishers with intelligent topic planning, author recommendation, intelligent manuscript writing, manuscript review, AI reading, knowledge Q&A, knowledge traceability, and self-built knowledge base services according to the business needs of publishers. He Zhaohui said that Tongfang CNKI intelligent review system relies on CNKI's massive data resources and years of review experience, supplemented by AI large models, deep learning and other artificial intelligence technologies to provide users with intelligent content security solutions, which can complete functions such as problem identification, content comparison, editing and proofreading, and custom detection.
Wisdom crosses borders from addition to integration
In recent years, Tencent has been exploring the integration of digitalization and AI in the publishing industry. The Tencent Research Institute's annual Digital Technology Development Atlas shows the strong relevance of technologies such as intelligent computing, auditing, interaction, and connectivity to the publishing industry.
Focusing on digital foundation construction, data governance and value mining, AI technology application and marketing strategy, Tencent is currently exploring how to use digital products to improve user experience, and through Tencent Cloud platform, output technology to serve the publishing industry, promote the digital transformation of the publishing industry and AI integration, and form a new knowledge application paradigm.
The datasets and knowledge bases behind AI models often provide content in a more accurate and convenient way, which constitutes the core application scenario of the intelligent system. At the same time, publishers also need to use large models to improve efficiency and user experience.
Zhang Yuming, an expert in Tencent Cloud's smart media industry solutions, emphasized that publishing houses can improve efficiency through large models, and the application of AI in the value of companionship needs to be explored, such as interacting with the role of publications through intelligent twins and improving user experience through digital interaction scenarios. He believes that the publishing industry needs to work with partners to explore new application models and market space, and help the digital upgrade of the publishing industry through technological innovation.
Datasets and knowledge bases, as well as data connectivity, are critical to improving publishing efficiency. Wang Zijing, deputy director of the digital media department of the science and technology network of Zhongyuan Dadi Media Co., Ltd., reminded the publisher to pay more attention to the importance of interactive support between the data center and the model in improving work efficiency.
Participants generally agreed that the development of artificial intelligence is redefining the entire industry chain of the publishing industry, and in this regard, the publishing industry should actively embrace new technologies of artificial intelligence and redefine business models to achieve transformation, upgrading and high-quality development. (Reporter Li Meilin, trainee reporter Pu Tian)
Source: China Press and Publication Radio and Television Network