[1] 马阅欢, 方佳明, 杨慧颖, 等. 机器的觉醒：生成式AI溯源、演进与展望[J]. 南开管理评论, 2024, 27(4): 66-77. (MA Y H, FANG J M, YANG H Y. The rising of the machine: generative AI traceability, evolution, and future prospects[J]. Nankai business review, 2024, 27(4): 66-77.)
[2] 中国科学院. 工业和信息化部等七部门关于推动未来产业创新发展的实施意见[EB/OL]. [2025-10-11]. https://www.cas.cn/zcjd/202401/t20240130_5002010.shtml. (Chinese academy of science. Ministry of Industry and Information Technology and other seven departments on the promotion of future industrial innovation and development of the implementation of opinions[EB/OL]. [2025-10-11]. https://www.cas.cn/zcjd/202401/t20240130_5002010.shtml.)
[3] McKinsey & Company. The economic potential of generative AI: the next productivity frontier[R]. America: McKinsey & Company, 2023: 1-2.
[4] 德勤中国. 企业生成式人工智能应用现状[R]. 中国: 德勤中国, 2024: 17-19. (Deloitte China. The Current Situation of Enterprise Applications of Generative Artificial Intelligence[R]. China: Deloitte China, 2024: 17-19.)
[5] 李涛. 生成式人工智能Sora赋能智慧图书馆的探索与法律规制[J]. 图书馆建设, 2024(5): 128-137. (LI T. Exploration and legal regulation of intelligent library enabled by generative artificial intelligence Sora[J]. Library development, 2024(5): 128-137.)
[6] 童云峰, 张学彬. 智慧图书馆领域生成式人工智能技术应用的法律容错机制[J]. 图书馆工作与研究, 2024(10): 23-32. (TONG Y F, ZHANG X B. Legal fault tolerance mechanism of generative artificial intelligence technology application in the field of smart libraries [J]. Library work & study, 2024(10): 23-32.)
[7] 潘文佳, 蔡俊, 胡晗光. 公共图书馆AIGC应用研究：作用、法律瓶颈及突破路径[J]. 新世纪图书馆, 2024(9): 47-54. (PAN W J, CAI J, HU H G. Research on the application of AIGC in public libraries: role, legal bottlenecks and breakthrough paths[J]. New century library, 2024(9): 47-54.)
[8] 王静, 王鹏. 智慧图书馆生成式AI大模型风险治理机制研究[J]. 情报杂志, 2024, 43(8): 190-197. (WANG J, WANG P. Research on risk management mechanism of generative AI large model in smart library[J]. Journal of intelligence, 2024, 43(8): 190-197.)
[9] 徐芳. 智慧图书馆生成式人工智能应用场景及其法律问题[J]. 情报资料工作, 2024, 45(2): 24-29. (XU F. Application scenarios and legal issues of generative artificial intelligence in smart libraries[J]. Information and documentation service, 2024, 45(2): 24-29.)
[10] 孙尚锋, 沈宁, 刘琳, 等. 生成式AI时代图书馆智慧阅读推广模式研究[J]. 图书馆理论与实践, 2024(4): 83-88. (SUN S F, SHEN N, LIU L, et al. Research on the promotion model of library intelligent reading in the age of generative AI[J]. Library theory and practice, 2024(4): 83-88.)
[11] 张鹏. 生成式人工智能聊天机器人：重新定义图书馆用户服务[J]. 图书馆理论与实践, 2024(2): 123-129. (ZHANG P, Generative artificial intelligence chatbots: redefining user service in library[J]. Library theory and practice, 2024(2): 123-129.)
[12] 郭亚军, 庞义伟, 周家华, 等. ChatGPT赋能图书馆虚拟数字人：技术优势、应用场景与实践路径[J]. 图书馆论坛, 2024, 44(8): 69-79. (GUO Y J, PANG Y W, ZHOU J H, et al. ChatGPT empowers digital humans in libraries: technological advantages, application scenarios, and practical pathways[J]. Library tribune, 2024, 44(8): 69-79.)
[13] 叶鹰, 叶永鑫, 赵星. AI-GPT技术及其应用生态下实现全面知识管理引论[J]. 中国图书馆学报, 2024, 50(6): 34-44. (YE Y, YE Y X, ZHAO X. An essay on realizing overall knowledge management through AI-GPT technology and its applications[J]. Journal of library science in China, 2024, 50(6): 34-44.)
[14] 曹茹烨, 曹树金. ChatGPT完成知识组织任务的效果及启示[J]. 情报资料工作, 2023, 44(5): 18-27. (CAO R Y, CAO S J. The effect and enlightenment of ChatGPT in completing knowledge organization tasks[J]. Information and documentation service, 2023, 44(5): 18-27.)
[15] 文玉锋, 赵悦言. 基于生成式逻辑的古籍文献自动化置标语义框架构建与应用研究[J]. 图书与情报, 2024(2): 126-134. (WEN Y F, ZHAO Y Y. Research on the construction and application of automated semantic framework for ancient texts based on generative logic[J]. Library & information, 2024(2): 126-134.)
[16] 张君冬, 杨松桦, 刘江峰, 等. AIGC赋能中医古籍活化：Huang-Di大模型的构建[J]. 图书馆论坛, 2024, 44(10): 103-112. (ZHANG J D, YANG S H, LIU J F, et al. AIGC empowering the revitalization of ancient books on traditional Chinese medicine: building the Huang-Di large language model[J]. Library tribune, 2024, 44(10): 103-112.)
[17] 柯平, 王洁, 刘倩雯. 生成式AI视域下智慧图书馆建设的关键路径[J]. 现代情报, 2024, 44(1): 4-10. (KE P, WANG J, LIU Q W, The key path of smart library construction in the perspective of generative AI[J]. Journal of modern information, 2024, 44(1): 4-10.)
[18] 韩禹荣, 潘未梅. 档案服务机构档案人才需求分析及启示[J]. 浙江档案, 2023(12): 47-50, 60. (HAN Y R, PAN W M. Analysis of archival talent needs of archival service organizations and insights[J]. Zhejiang archives, 2023(12): 47-50, 60.)
[19] 洪芳林, 汤艳霞, 龚蛟腾. 大学图书馆空间馆员职位及其人才培养研究[J]. 图书馆建设, 2023(6): 100-112, 121. (HONG F L, TANG Y X, GONG J T. Research on the position of librarian in the university library space and its talent training[J]. Library development, 2023(6): 100-112, 121.)
[20] YANG Q H, SHI Z H, LIU Y Q. Exploring library core competencies: a text mining study of American Library Association’s job advertisements from 2006 through 2017[J]. Social science computer review, 2023(41): 83-98.
[21] 吴拓, 傅文奇. 基于招聘信息的我国图书馆人才需求调查与分析[J]. 国家图书馆学刊, 2018, 27(6): 18-29. (WU T, FU W Q. Investigation and analysis of the talent demands of libraries in China based on recruitment information[J]. Journal of the National Library of China, 2018, 27(6): 18-29.)
[22] 陈明红, 张倩琳, 韩静. 信息管理与信息系统专业人才招聘需求分析及培养启示[J]. 图书馆学研究, 2021(20): 9-20. (CHEN M H, ZHANG Q L, HAN J. Analysis of recruitment demand for information management and information systems professionals and training implications[J]. Research on library science, 2021(20): 9-20.)
[23] 袁毅, 陶鑫琪, 李瑾萱, 等. 基于招聘文本实体挖掘的人才供需分析——以人工智能领域为例[J]. 图书情报工作, 2022, 66(14): 101-118. (YUAN Y, TAO X Q, LI J X, et al, Analysis of talent supply and demand based on recruitment text entity mining: taking artificial intelligence field as an example[J]. Library and information service, 2022, 66(14): 101-118.)
[24] 达朝锦, 黄延锦, 卢玉彬, 等. 基于互联网招聘信息挖掘的养老护理员岗位胜任力分析[J]. 护理学杂志, 2023, 38(8): 58-62. (DA Z J, HUANG Y J, LU Y B, et al. Analysis of job competencies of aged care workers based on Internet recruitment information mining[J]. Journal of nursing science, 2023, 38(8): 58-62.)
[25] 何达, 喻惠敏, 石瑛, 等. 我国医疗行业对人工智能相关人才的需求分析——基于两网站招聘信息的调查[J]. 中国卫生政策研究, 2019, 12(7): 59-64. (HE D, YU H M, SHI Y, et al. An analysis on the demand of artificial intelligence related talents in China’s medical field: survey based on recruitment information of two websites[J]. China journal of health policy, 2019, 12(7): 59-64.)
[26] 史兴松, 程霞. 商务英语专业人才的社会需求分析[J]. 外语界, 2019(2): 65-72. (SHI X S, CHENG X. Analysis of social demand of business English professionals[J]. Foreign language world, 2019(2): 65-72.)
[27] 胡忠义, 李雅, 吴江, 等. 基于招聘信息的商务智能人才需求分析与启示[J]. 信息资源管理学报, 2019, 9(3): 111-118, 129. (HU Z Y, LI Y, WU J, et al. Analysis of recruitment information on business intelligence professionals: recruitment requirement and enlightenment[J]. Journal of information resources management, 2019, 9(3): 111-118, 129.)
[28] 周金燕, 冯思澈. 劳动力市场需要什么样的教师?——基于网络招聘信息的挖掘与分析[J]. 教育与经济, 2020, 36(6): 68-76. (ZHOU J Y, FENG S C. What is the requirement in the teacher labor market? Evidence from online postings [J]. Education & economy, 2020, 36(6): 68-76.)
[29] 中国互联网信息中心. 生成式人工智能应用发展报告（2024）[R]. 中国: 中国互联网络信息中心, 2024: 36-37. (Information Center of the China Internet Network. Development report on the application of generative artificial intelligence (2024)[R]. China: Information Center of the China Internet Network, 2024: 36-37.)
[30] 央视财经. 生成式人工智能应用爆发人才招聘缺口大[EB/OL]. [2025-10-11]. https://tv.cctv.com/2024/05/07/VIDE6IL3dVnltNsUd9sWmS0s240507.shtml. (CCTV Finance and Economics Channel. The applications of generative artificial intelligence have witnessed an explosive growth, leading to a significant gap in talent recruitment[EB/OL]. [2025-10-11]. https://tv.cctv.com/2024/05/07/VIDE6IL3dVnltNsUd9sWmS0s240507.shtml.)
[31] 朝乐门, 肖纪文, 王解东. 数据科学家：岗位职责、能力要求与人才培养[J]. 中国图书馆学报, 2021, 47(3): 100-112. (CHAO L M, XIAO J W, WANG J D. Typical responsibilities, key qualifications and higher education for data scientist[J]. Journal of library science in China, 2021, 47(3): 100-112.)
[32] 沈愷, 童潇潇, 于典, 等. 生成式AI在中国：2万亿美元的经济价值[EB/OL]. [2025-10-11]. https://www.mckinsey.com.cn/. (SHEN K, TONG X X, YU D, et al. Generative AI in China: a $2 trillion economy[EB/OL]. [2025-10-11]. https://www.mckinsey.com.cn/.)
[33] 中共中央国务院. 中共中央国务院关于构建更加完善的要素市场化配置体制机制的意见[EB/OL]. [2025-10-11]. https://www.gov.cn/gongbao/content/2020/content_5503537.htm. (State Council of the Communist Party of China Central Committee. Opinions of the Central Committee of the Communist Party of China and the State Council on building a better institutional mechanism for market-based allocation of factors[EB/OL]. [2025-10-11]. https://www.gov.cn/gongbao/content/2020/content_5503537.htm.)
[34] 陈雪涛, 张子烨. AIGC的未来：探索前景与市场机会[M]. 北京: 中国经济出版社, 2023. 80-81. (CHEN X T, ZHANG Z Y. The future of AIGC: exploring prospects and market opportunities[M]. Beijing: Economic Press China, 2023. 80-81.)
[35] 天津外国语大学. 我校打造“1+X+7”人工智能课程体系[EB/OL]. [2025-10-11]. https://www.tjfsu.edu.cn/2024/0829/c16a8274/page.htm. (Tianjin foreign studies university. Our university has established a comprehensive “1+X+7” AI curriculum framework[EB/OL]. [2025-10-11]. https://www.tjfsu.edu.cn/2024/0829/c16a8274/page.htm.)
[36] 南京信息工程大学. 南京大学开设人工智能通识核心课程体系, 面向全体本科新生[EB/OL]. [2025-10-11]. https://gjs.nuist.edu.cn/2024/0304/c2490a238000/pagem.htm. (Nanjing university of information science & technology. Nanjing University launches general core curriculum system for artificial intelligence, open to all freshmen[EB/OL]. [2025-10-11]. https://gjs.nuist.edu.cn/2024/0304/c2490a238000/pagem.htm.)
