“人工智能+”辅助学术期刊高能级平台建设

Core Viewpoint - The rapid development of artificial intelligence (AI) is significantly impacting various industries and reshaping human production and lifestyle paradigms. The Chinese government's policy to promote the integration of AI across sectors aims to enhance overall productivity and support modernization efforts in China [1]. Group 1: Empowering Journal Content Production and Planning - AI plays a crucial role in optimizing content production for academic journals by analyzing vast amounts of academic data to identify research trends and hotspots, thus enhancing the scientific and forward-looking nature of topic planning [1]. - Natural language processing technology enables efficient retrieval and analysis of relevant literature, assisting editors and researchers in understanding the structure of existing academic literature and identifying gaps in specific fields [1]. Group 2: Enhancing Journal Editing and Publishing Processes - The integration of AI into the publishing process is essential for high-level academic journals to improve efficiency and quality while reducing costs. AI can assist in manuscript solicitation, peer review, and editing processes [2]. - AI can analyze potential authors' academic capabilities and match manuscripts with suitable reviewers, enhancing the scientific rigor of peer reviews [2]. - During the editing phase, AI can identify language, punctuation, and formatting issues, thereby improving the efficiency of the editing process [2]. Group 3: Optimizing Knowledge Dissemination and Services - Effective dissemination of academic knowledge and personalized services are key metrics for enhancing the reputation and influence of high-level academic journals. Many journals currently face challenges in achieving precise dissemination and providing diverse services [3]. - AI can analyze user behavior data to predict interests and deliver tailored content, thereby improving user engagement and interaction [3]. - The use of AI can also transform core ideas into various formats, such as summaries and video interpretations, to cater to fragmented reading habits and broaden dissemination channels [3]. Group 4: Challenges in AI Integration - The integration of AI in academic journals raises concerns about academic integrity and quality, as AI-generated texts may lead to issues such as plagiarism and the production of non-substantive papers [4]. - There is a risk of diminishing the editorial and review quality due to over-reliance on AI technologies, which may undermine the professional judgment of editors and reviewers [4]. - Data security and privacy risks are associated with the collection of user data by AI tools, which could lead to potential breaches and misuse of sensitive information [5].