摘要：

目的 深入分析国内外信息资源管理领域期刊生成式人工智能使用政策规范建设现状，为国内信息资源管理领域期刊发展提供参考和借鉴。 方法 以CSSCI和JCR中SCIE和SSCI收录的信息资源管理领域（information science & library science）期刊为调研样本，并结合是否已发布生成式人工智能使用政策的标准，最终确定61种期刊为分析对象，利用扎根理论的方法梳理分析其发布的生成式人工智能使用政策规范。 结果 国外信息资源管理领域期刊大多属于国际大型出版集团，其关于生成式人工智能使用的政策规范基本成体系。相较于国外，国内该领域期刊关于生成式人工智能的使用政策建设尚在起步阶段，缺乏系统性和体系化的生成式人工智能治理政策。 结论 国内信息资源管理领域期刊应积极拥抱生成式人工智能应用趋势，充分发挥各方力量，提升其生成式人工智能治理能力和治理效能。在宏观战略视角下，以信息资源管理学科发展和相关行业领域治理理念，赋能领域期刊的生成式人工智能治理；在微观实施视角下，各期刊应制定符合学科特征的生成式人工智能应用政策，在期刊网站设立明确的政策栏目，明晰生成式人工智能使用规范和边界，制定违规使用处理措施，同时保留期刊的自由量裁权。

关键词: AIGC治理, 学术出版, 信息资源管理期刊, 出版政策, 治理策略

Abstract:

Purposes To conduct an in-depth analysis of the current status of generative artificial intelligence （AI） usage policy and regulation construction in information resources management journals both domestically and internationally， providing references and inspirations for the development of domestic information resources management journals. Methods Taking the journals in the field of information resources management （information science & library science） indexed by CSSCI and JCR （SCIE and SSCI） as the research samples， and based on the criterion of whether they have released policies on the use of generative AI， 61 journals were finally selected for analysis. The grounded theory method was employed to sort out and analyze the generative AI usage policies and regulations they have issued. Findings Most of the international journals in the field of information resources management belong to large international publishing groups， and their policies and regulations on the use of generative AI are basically systematic. In contrast， domestic journals in this field are still in the initial stage of formulating policies on the use of generative AI， lacking systematic and structured governance policies for generative AI. Conclusions Domestic journals in the field of information resources management should actively embrace the trend of generative AI application， fully leverage the strengths of all parties， and enhance their governance capabilities and effectiveness in generative AI. From a macro-strategic perspective， the development of the information resources management discipline and the governance concepts of related industry fields should be utilized to empower the governance of generative AI in field journals. From a micro-implementation perspective， each journal should formulate generative AI application policies that conform to the characteristics of the discipline， set up clear policy sections on their websites， clarify the norms and boundaries of generative AI usage， establish measures for handling violations， and retain the discretionary power of the journal.

Key words: AIGC governance, Academic publishing, Library and information science journals, Publishing policies, Governance strategy