9月10日晚间，第一财经记者搜索发现，武汉大学杨某媛的论文《中印生育行为影响家庭暴力的经济学 分析》在中国知网恢复了展示，阅读、下载等所有功能正常。当天早些时候，第一财经记者发现在知网 无法搜索到该论文，而同一时间段其它论文均能正常展示、下载。 当天早些时候，第一财经记者发现在知网无法搜索到该论文。 ...

Core Viewpoint - The article discusses the restoration of the paper titled "An Economic Analysis of the Impact of Fertility Behavior on Domestic Violence in China and India" by Yang Mouyuan from Wuhan University on CNKI, highlighting its availability for reading and downloading after a temporary unavailability [1] Group 1 - The paper was previously not searchable on CNKI, while other papers were accessible during the same period [1] - The restoration of the paper occurred on the evening of September 10, allowing full functionality for users [1]

Core Viewpoint - The integration of artificial intelligence (AI) in academic publishing presents both opportunities for efficiency and risks related to academic integrity and innovation [1][2][3] Group 1: AI's Role in Academic Publishing - AI technology, particularly generative AI, is significantly enhancing the efficiency of academic publishing, with over 90% of document processing tasks at CNKI being completed by machines [1] - The rapid development of AI models is deeply embedding itself in the writing and publishing of scientific journals, which raises concerns about potential risks, such as data leaks during the peer review process [1] Group 2: Challenges and Risks - Over-reliance on AI may challenge academic innovation, as it primarily depends on historical data and may introduce algorithmic biases, potentially harming research originality and raising issues of academic integrity [2] - There is currently no consensus in the industry regarding the boundaries of generative AI's application in academic publishing, highlighting the need for clear regulations [2] Group 3: Regulatory Measures and Tools - The implementation of specific rules for AI usage in academic publishing requires effective technical supervision, with CNKI actively exploring academic achievement detection and developing a generative AI detection tool for educational institutions [3] - Existing guidelines, such as the "Guidelines for the Use of AIGC in Academic Publishing 2.0," have been established, but further refinement is needed to clarify the scenarios and extent of AI usage [2]