图书情报工作

图书情报工作 >

2022 , Vol. 66 >Issue 19: 143 - 152

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.19.014

综述述评

人工智能、机器学习、自动化和机器人技术对信息行业的影响——2021年CILIP专题研讨会综述与启示

  • 陆颖颖 ,
  • 孙裕彤 ,
  • 张瑶 ,
  • 李旭光
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  • 1 华中师范大学信息管理学院 武汉 430079;
    2 中国科学院文献情报中心 北京 100190;
    3 中国科学院大学经济与管理学院图书情报与档案管理系 北京 100190;
    4 南开大学商学院信息资源管理系 天津 300071
陆颖颖,博士研究生;张瑶,讲师,博士;李旭光,副教授,博士

收稿日期: 2022-03-25

  修回日期: 2022-07-04

  网络出版日期: 2022-10-25

基金资助

本文系国家社会科学基金一般项目"大众创新背景下产品用户虚拟社区的知识创新机理及应用研究"（项目编号：18BTQ086）研究成果之一。

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The Impact of AI, Machine Learning, Automation and Robotics on the Information Professions——Review and Enlightenment of CILIP Special Symposium in 2021

  • Lu Yingying ,
  • Sun Yutong ,
  • Zhang Yao ,
  • Li Xuguang
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  • 1 School of Information Management, Central China Normal University, Wuhan 430079;
    2 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    3 Department of Library, Information and Archives Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    4 Department of Information Resources Management, Business School, Nankai University, Tianjin 300071

Received date: 2022-03-25

  Revised date: 2022-07-04

  Online published: 2022-10-25

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摘要

[目的/意义] CILIP是英国图书馆员和信息情报从业人员的行业组织，也是全球信息与图书馆领域具有重要影响力的组织之一。总结与梳理2021年CILIP组织的有关人工智能、机器学习、自动化和机器人技术对信息行业的影响专题研讨会，为我国信息与图书馆行业的发展提供参考与借鉴。[方法/过程] 以专题研讨会内容为综述对象，结合国内外相关研究与实践现状，从影响与应用、机遇与挑战、信息技能3个维度对CILIP专题研讨会进行归纳与总结，并结合我国的实践现状探讨相应的发展建议与启示。[结果/结论] 人工智能、机器学习、自动化和机器人技术对信息与图书馆行业的信息技能、信息服务、信息用户、基础设施等方面带来一定影响。未来，可以从行业专业组织、信息服务机制、专业素养与技能、信息人才培养等方面推动信息与图书馆行业的变革与发展。

关键词： 工业革命; 信息服务; 人工智能; 机器学习; 数据管理

本文引用格式

陆颖颖 , 孙裕彤 , 张瑶 , 李旭光 . 人工智能、机器学习、自动化和机器人技术对信息行业的影响——2021年CILIP专题研讨会综述与启示[J]. 图书情报工作, 2022 , 66(19) : 143 -152 . DOI: 10.13266/j.issn.0252-3116.2022.19.014

Abstract

[Purpose/Significance] CILIP is a professional organization of British librarians and information and intelligence practitioners. It is one of the most influential organizations in the field of information and library in the world. This paper aims to summarize and sort out the symposium on the impact of AI, machine learning, automation and robotics on the information professions organized by CILIP in 2021, so as to provide references for the development of information and library professions in China.[Method/Process] Taking the content of the special symposium as the review object, combined with the current situation of relevant research and practice at home and abroad, this paper summarized the CILIP special symposium from three dimensions:influence and application, opportunities and challenges, information skills, and discussed the development suggestions and enlightenments in combination with the current situation of practice in China.[Result/Conclusion] AI, machine learning, automation and robotics have a certain impact on the information skills, information services, information users and infrastructures of the information and library professions. In the future, the information and library professions can promote their reform and development from the aspects of professional organizations, information service mechanisms, professional quality and skills and information talent training.

Key words： industrial revolution; information services; artificial intelligence; machine learning; data management

参考文献

[1] CILIP. About CILIP[EB/OL].[2022-03-07]. https://www.cilip.org.uk/page/AboutCILIP.
[2] 周佳军,姚锡凡.先进制造技术与新工业革命[J].计算机集成制造系统,2015,21(8):1963-1978.
[3] CILIP. Research report:the impact of AI, machine learning, automation and robotics on the information profession[EB/OL].[2022-02-17]. https://www.cilip.org.uk/page/researchreport.
[4] FAGGELLA D. Machine learning in human resources-applications and trends[EB/OL].[2022-02-26].https://emerj.com/ai-sector-overviews/machine-learning-in-human-resources/.
[5] FLANNERY J. Using NLP to generate MARC summary fields for Notre Dame's Catholic pamphlets[J]. International journal of librarianship, 2020, 5(1):20-35.
[6] HOY M B. Smart buildings:an introduction to the library of the future[J]. Medical reference services quarterly, 2016, 35(3):326-331.
[7] MIN-ALLAH N, ALRASHED S. Smart campus-a sketch[J]. Sustainable cities and society, 2020, 59:1-15.
[8] SYED R, SURIADI S, ADAMS M, et al. Robotic process automation:contemporary themes and challenges[J]. Computers in industry, 2020, 115:1-15.
[9] FERNANDEZ P. "Through the looking glass:envisioning new library technologies" how artificial intelligence will impact libraries[J]. Library hi tech news, 2016, 33(5):5-8.
[10] 徐锋.基于人工智能的公共图书馆知识服务探析[J].新世纪图书馆,2021(3):27-31.
[11] 梁宇,郑易平.大数据时代信息伦理的困境与应对研究[J].科学技术哲学研究,2021,38(3):100-106.
[12] 刘鸿宇,苗芳艳,彭拾,等.人工智能伦理研究的知识图谱分析[J].情报杂志,2019,38(7):85-93.
[13] 刘存地.认知偏差与突破路径:炒作高峰期后的大数据与社会研究[J].信息资源管理学报,2020,10(2):37-47.
[14] 杨超,孟显印.基于炒作周期曲线的新兴技术态势及政策系统供给研究[J].中国科技论坛,2021(3):17-27.
[15] 每日经济新闻. Facebook深陷史上最大规模数据外泄丑闻或将面临2万亿美元罚款[EB/OL].[2022-03-17]. https://baijiahao.baidu.com/s?id=1595540759282614659&wfr=spider&for=pc.
[16] 付伟,于长钺.数据权属国内外研究述评与发展动态分析[J].现代情报,2017,37(7):159-165.
[17] 张晓新.图书馆数据主体著作权归属问题探讨[J].情报理论与实践,2019,42(7):67-73.
[18] HENKE N, LEVINE J, MCINERNEY P. Analytics translator:the new must-have role[EB/OL].[2022-03-07].https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/analytics-translator.
[19] CARTER D. New technologies and new data sources:the business information survey 2019[J]. Business information review, 2019, 36(3):95-105.
[20] 周威.国外图书馆数字资源循证采购实践及启示[J].图书馆工作与研究,2020(12):48-55.
[21] 陈薇.我国图书馆科学数据管理研究现状与趋势分析[J].图书馆工作与研究,2020(12):39-47.
[22] 孙路明,张少敏,姬涛,等.人工智能赋能的数据管理技术研究[J].软件学报,2020,31(3):600-619.
[23] NIH. Final NIH policy for data management and sharing[EB/OL].[2022-03-17]. https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html.
[24] 周雷,杨萍,燕娜,等.德国高校科研数据管理服务现状和启示[J].情报杂志,2021,40(7):166-173,133.
[25] 李宇,石磊,姚天泓,等.国际视野下图书馆机器人应用现状及其机遇与挑战[J].图书馆,2021(9):34-41.
[26] BURRELL J. How the machine ‘thinks’:understanding opacity in machine learning algorithms[J]. Big data & society, 2016, 3(1):1-12.
[27] BAKER J J. 2018:a legal research odyssey:artificial intelligence as disruptor[J]. Law library journal, 2018, 110(1):5-30.
[28] University of Brighton. Digital literacies at the University of Brighton[EB/OL].[2022-03-17]. https://blogs.brighton.ac.uk/digitalliteracies/.
[29] University of Wollongong. Digital literacy support[EB/OL].[2022-03-17]. https://www.uow.edu.au/student/support-services/digital-literacy/.
[30] 王维秋,刘春丽,刘丽萍,等.智慧图书馆的大数据伦理失范问题及伦理规范的发展战略[J].新世纪图书馆,2020(03):19-23,75.
[31] 张娟.英国公共图书馆数字包容实践及启示[J/OL].图书馆建设:1-18[2022-03-21].https://kns-cnki-net.webvpn.las.ac.cn/kcms/detail/23.1331.G2.20210706.0841.006.html.
[32] BARR D, HARRISON J, CONERY L. Computational thinking:a digital age skill for everyone[J]. Learning and leading with technology, 2011, 38(6):20-23.
[33] WING J M. Computational thinking[J]. Communications of the ACM, 2016, 49(3):33-35.
[34] 罗海风,刘坚,罗杨.人工智能时代的必备心智素养:计算思维[J].现代教育技术,2019,29(6):26-33.
[35] TWIDALE M B, NICHOLS D M. Computational sense:the role of technology in the education of digital librarians[EB/OL].[2022-03-07]. https://researchcommons.waikato.ac.nz/handle/10289/40.
[36] GRAY A. The 10 skills you need to thrive in the Fourth Industrial Revolution[EB/OL].[2022-03-07].https://www.weforum.org/agenda/2016/01/the-10-skills-you-need-to-thrive-in-the-fourth-industrial-revolution/.
[37] 高强,游宏梁,汤珊红,等.军事数据治理概念与框架研究[J].情报理论与实践,2019,42(12):55-59.
[38] 王丽丽,安小米.在线政务服务数据的协同治理——对8个发达国家的比较研究[J].图书情报知识,2021,38(3):130-143.
[39] 郑燕林,王战林.超越大数据走向智能信息服务:人工智能时代的芬兰实践及启示[J].现代情报,2021,41(10):93-100.
[40] COX A M. Exploring the impact of artificial intelligence and robots on higher education through literature-based design fictions[J]. International journal of educational technology in higher education, 2021, 18(1):1-19.
[41] 胡吉明.创新型国家的信息服务体制与信息保障体系构建(2)——基于创新价值链的信息服务转型[J].图书情报工作,2010,54(6):10-13,35.
[42] 李忆,喻靓茹,邱东.人与人工智能协作模式综述[J].情报杂志,2020,39(10):137-143.
[43] 高德胜,季岩.人工智能时代个人信息安全治理策略研究[J].情报科学,2021,39(8):53-59.
[44] 林晶,陈苗,李伟.人工智能与大数据时代信息人才培养模式、路径与对策研究[J].情报科学,2019,37(9):123-125+132.
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