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Journal of library and information science in agriculture ›› 2025, Vol. 37 ›› Issue (7): 35-49.doi: 10.13998/j.cnki.issn1002-1248.25-0308

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AI Guides in Research Libraries of North America under the AI4S Context: Based on the Survey of 125 ARL Libraries

ZHAI Jun, MENG Zihan, LI Fangsu, SHEN Lixin   

  1. School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026
  • Received:2025-06-10 Online:2025-07-05 Published:2025-09-29

Abstract:

[Purpose/Significance] AI for Science (AI4S) refers to the thorough integration of artificial intelligence (AI) into scientific, technological, and engineering research. It is driving a fundamental transformation in the way science is conducted by automating knowledge generation and enabling full-spectrum intelligence across the entire research lifecycle, and fostering interdisciplinary convergence Widely regarded as the fifth paradigm of scientific inquiry, following experimental, theoretical, simulation-based, and data-intensive research, AI4S heralds a new era of knowledge discovery. AI4S is an emerging paradigm that presents new challenges and higher demands for libraries' AI literacy education and AI services. Leading North American research universities, such as Harvard University, Dartmouth College, and the University of Toronto, have already leveraged their libraries to provide AI guides services supporting scientific research. Adopting the novel lens of AI4S-oriented services, this paper offers a systematic analysis of how North American research libraries have developed their AI4S guides, with the aim of providing transferable insights and practical references for research university libraries in China as they design research-support services under the AI4S paradigm. [Method/Process] This study employs Web survey and content analysis methods, using member libraries of the Association of Research Libraries (ARL) in North America as samples, to analyze the characteristics of AI4S guides in research libraries. It examines the key components of AI guides from three perspectives: AI cognition, AI tools, and academic usage norm. [Results/Conclusions] The survey was conducted from 1 December 2024 to31 March 2025. Among all ARL libraries, 97 were found to offer research-oriented AI guides: 85 from the United States and 12 from Canada. The analysis revealed the three hallmarks of the AI4S guides developed by the ARL members: 1) LibGuides serve as the primary delivery mechanism for AI4S guidance, 2) the guides are deeply integrated with AI-literacy instruction, 3) generic research guides coexist with and complement discipline-specific guides. These AI4S guides provide comprehensive support for researchers' capacity-building, covering the role of AI in research, informed selection of AI tools, and responsible use of AI technologies. Recommendations for AI tools occupy a central place in AI4S services; across the libraries, the endorsed tools fall into three categories: institution-developed tools, institution-approved tools, and third-party tools. Based on the findings, the paper proposes recommendations for research university libraries in China to develop and enhance AI guides under the AI4S paradigm, including strengthening policy interpretation, prioritizing data security, and promoting cross-departmental collaboration. This study still has the following limitations: 1) it is based on an analysis of the overall situation, and the analysis of typical cases of AI4S services is insufficient, 2) it did not conduct a comparative analysis of AI4S guides and services between domestic and international libraries.

Key words: AI for Science, AI guide, AI literacy, research libraries, generative artificial intelligence

CLC Number: 

  • G254.97

Table 1

AI guides published by some North American research university libraries"

序号高校名称栏目名称类别更新时间
1

哈佛大学

(美国常春藤联盟成员)

Artificial Intelligence for Research and Scholarship

(人工智能在研究与学术中的应用)

通用2025.03.23
2

普林斯顿大学

(美国常春藤联盟成员)

Research Guides: Generative AI

(研究指南:生成式人工智能)

通用2025.01.13
3

耶鲁大学

(美国常春藤联盟成员)

Using AI in Research

(在研究中使用AI)

通用2025.01.08
4多伦多大学(加拿大U15研究型大学联盟成员)

Generative AI tools and Copyright Considerations

(生成式AI工具和版权注意事项)

通用2024.12.20

Citing Artificial Intelligence (AI) Generative Tools

(引用人工智能生成工具)

通用2025.01.08

AI for Image Research in Art and Architecture

(AI在艺术和建筑领域图像研究中的应用)

专用2025.01.30
5阿尔伯塔大学(加拿大U15研究型大学联盟成员)

Subject Guides: Using Generative AI

(学科指南:使用生成式AI)

通用2025.03.21
6女王大学(加拿大U15研究型大学联盟成员)

Using AI During the Research Lifecycle

(在研究生命周期中使用AI)

通用2025.03.16
7

加州大学戴维斯分校

(美国公立常春藤联盟成员)

Generative Artificial Intelligence for Teaching, Research and Learning(用于教学、研究和学习的生成式人工智能)通用2025.03.28
8

南加州大学

(美国大学协会成员)

Research Guides: Using Generative AI in Research

(研究指南:在研究中使用生成式 AI)

通用2025.03.23

Research Guides: AI and the Digital Humanities

(研究指南:AI和数字人文)

专用2025.03.21

Research Guides: Artificial Intelligence for Business

(研究指南:面向商业领域的人工智能)

专用2025.02.04

Table 2

AI4S guides at the University at Albany libraries, State University of New York"

序号指南名称栏目网址
1

Generative AI and Research

(生成式人工智能与研究)

https://libguides.library.albany.edu/airesearch
2

Generative AI and Information Literacy: Authorship and Authority

(生成式人工智能与信息素养:作者身份与权威性)

https://libguides.library.albany.edu/authorshipai
3

Generative AI and Information Literacy: Information Privilege

(生成式人工智能与信息素养:信息特权)

https://libguides.library.albany.edu/privilegeai
4

Generative AI and Information Literacy: Ownership of Information

(生成式人工智能与信息素养:信息所有权)

https://libguides.library.albany.edu/ownershipai
5

Generative AI and Academic Integrity

(生成式人工智能与学术诚信)

https://libguides.library.albany.edu/academicintegrityai
6

Evaluating Generative AI Tools

(评估生成式人工智能工具)

https://libguides.library.albany.edu/evaluatingai

Table 3

The role of GenAI tools in a variety of phases of the research lifecycle"

序号阶段AI的作用
1

构思与创意

(假设生成)

AI能够根据给定的数据集或主题自动生成研究问题,这些问题可以作为研究人员进一步提炼和发展成假设的起点
2文献综述AI可以通过分析和总结有关某个主题的文献,识别现有知识中的相关趋势、模式和差距来加速文献综述过程
3实验设计AI算法根据现有数据提出变量、方法和潜在结果来帮助研究人员设计实验
4数据分析AI可以帮助处理和分析大型数据集,从而更容易识别新兴趋势、相关性、异常值和其他模式
5论文写作AI可以协助起草、校对和编辑研究论文
6合作与共享AI驱动的推荐系统可以帮助研究人员与同行、合作者和各自领域的专家建立联系,促进跨学科合作和知识共享

Table 4

Examples of GenAI tools developed by institutions"

序号学校名称工具名称工具功能
1哈佛大学AI Sandbox代码生成、数据分析、文本生成和编辑、图像生成、翻译等
2耶鲁大学Clarity AI Chatbot生成内容、编写代码、描述和分析上传的图像等
3加州大学戴维斯分校Rocky个人交互助手,用于浏览学校的所有细节,包括学术活动等
4加州大学欧文分校ZotGPTAI服务集合,包含ZotGPT Chat和ZotGPT API等
5芝加哥大学PhoenixAI图表/图形生成、图像分析、搜索功能等

Table 5

Approved GenAI tools at the university of Chicago"

序号工具名称公司名称用途数据安全要求
1Microsoft Copilot微软集成微软产品仅适用于非敏感信息
2Azure AI微软通用仅适用于非敏感信息
3ChatGPT 3.5/4.0OpenAI通用仅适用于非敏感信息
4Vertex AI谷歌通用仅适用于非中央GCP租户
5ExtraHop AIExtraHop公司信息安全可用于敏感的流数据
6Sonix AISonix公司转录服务仅适用于非敏感信息
7Claude.AIAnthropic公司通用仅适用于非敏感信息
8ExtraHop AIExtraHop公司信息安全可用于敏感的流数据

Table 6

Comparison of AI tools for literature review"

序号工具名称数据来源隐私安全图书馆员评级
1Scite Browser Extension BadgeCrossRef,通过出版商协议引用的文章全文跨网站跟踪用户的数据3星
2ElicitSemantic Scholar 的摘要,OA文章的全文收集注册时披露的个人信息等4星
3Semantic Scholar来自50+ 出版商的 200M+的摘要和OA材料收集个人信息和浏览信息,使用Cookie等2星
4Lateral专有数据在注册时收集个人信息及工具使用信息等4星
5Research RabbitSemantic Scholar 和 PubMed的数据资源收集用户提供的个人信息3.5星

Table 7

Examples of AI policies of academic publishers"

序号政策名称要求
1ACM作者身份政策GenAI工具和技术,不得列为作者。允许使用GenAI工具和技术来创建内容,但必须在作品中充分披露
2Elsevier AI作者政策作者可以在投稿前的写作过程中使用GenAI和AI辅助技术,但只能根据作者指南中的说明,提高论文的语言和可读性,并进行适当的披露
3Nature关于作者身份和AI的声明诸如ChatGPT等大型语言模型(LLMs)不符合本刊的署名标准。若在研究中使用了LLMs,须在论文的“方法”部分明确说明
4IEEE提交政策在论文中使用AI生成的内容应在论文的致谢部分披露

Table 8

Examples of China's AI policies"

序号政策名称发布机构简介发布时间
1

负责任研究行为

规范指引(2023)

科技部监督司明确规定使用GenAI在学术研究中的边界,包括研究选题与实施、数据管理、成果署名与发表、文献引用等方面的规范2023.12
2科研诚信规范手册

国家自然科学基金

委员会

包含AI相关规范,如科研人员在填写申请书时,应当杜绝使用GenAI直接生成申报材料等2023.12
3

关于在科研活动中

规范使用人工智能

技术的诚信提醒

中国科学院

科研道德委员会

聚焦AI技术在科研活动全流程应用中可能存在的问题与挑战,提出八项提醒,如反对直接使用未经核实的由AI生成的调研报告、选题建议、文献综述等2024.09
4

学术出版中AIGC

使用边界指南2.0

中国科学技术信息研究所为AI技术在学术出版中的最佳行为实践提供一个基本原则的框架和指南,并引导出版界、科学界和科技管理部门就AI技术使用规范进一步形成共识2024.09
5

人工智能生成合成

内容标识方法

国家市场监督

管理总局

规定AI生成合成内容的标识方法,包括显示标识和隐式标识两种方式2025.02
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