A Study on the Knowledge and Perception of Artificial Intelligence

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
David M. Dettman
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引用次数: 0

Abstract

A Review of: Subaveerapandiyan, A., Sunanthini, C., & Amees, M. (2023). A study on the knowledge and perception of artificial intelligence. IFLA Journal, 49(3), 503–513.  https://doi.org/10.1177/03400352231180230 Objective – To assess the knowledge, perception, and skills of library and information science (LIS) professionals related to artificial intelligence (AI). Design – 45 statements were distributed to 469 LIS professionals via Google Forms to collect primary data. 245 participants responded to the structured questionnaire. Setting – University and college libraries in Zambia. Subjects – Zambian library and information science professionals.Methods – A descriptive approach was employed for the study. Data was gathered via a questionnaire. “The objective was to assess the statistical relationship between the knowledge, perception, and skills of LIS professionals (the independent variables) and AI (the dependent variable)” (Subaveerapandiyan et al., p. 506). The survey used a 5-point Likert scale with (1) strongly disagree being the lowest score and (5) strongly agree the highest.  Means and standard deviations are included in data display tables. Thematic analysis was employed to analyze the data. SPSS was used for data analysis.Main Results – Survey results are presented in three tables. Table 1, “Awareness of AI among LIS professionals,” contains 21 statements related to AI use in various library environments and services, including reference (finding articles and citations, content summarization, detecting misinformation), circulation of library materials, security and surveillance, character recognition and document preservation, research data management, language translation, and others. The authors note that 44.1 percent of the respondents agreed that “AI is essential for the effectiveness and efficiency of library service delivery, enabling libraries to enhance and offer dynamic services for their users” (Subaveerapandiyan et al., 2023, p. 506). Table 2, “Perception of AI among LIS professionals,” contains 10 statements. Over 85 percent of respondents either strongly agreed or agreed that AI “makes library staff lazy” while 58.1 percent either strongly agreed or agreed that AI is a “threat to librarians’ employment” (Subaveerapandiyan et al., 2023, p. 506). The authors note that the “respondents also indicated barriers to the adoption of AI in libraries, such as the lack of LIS professionals’ skills and budgetary constraints” (Subaveerapandiyan et al., 2023, p. 506). Table 3 lists 13 competencies required by library professionals in the AI era. The majority of the respondents (an average of 65 percent) were in strong agreement that “electronic communication, hardware and software, Internet applications, computing and networking, cyber security and network management, data quality control, data curation, database management … are necessary competencies required by LIS professionals for them to be proficient in AI” (Subaveerapandiyan et al., 2023, p. 506).
关于人工智能知识和认知的研究
Subaveerapandiyan, A., Sunanthini, C., & Amees, M. (2023).人工智能知识与认知研究》。国际图书馆员协会和图书馆联合会期刊》,49(3),503-513。https://doi.org/10.1177/03400352231180230Objective - 评估图书馆与信息科学(LIS)专业人员与人工智能(AI)相关的知识、认知和技能。设计 - 通过谷歌表格向 469 名 LIS 专业人员分发 45 份声明,以收集原始数据。环境--赞比亚的大学和学院图书馆。对象--赞比亚图书馆和信息科学专业人员。方法--研究采用了描述性方法。通过调查问卷收集数据。"目的是评估 LIS 专业人员的知识、认知和技能(自变量)与人工智能(因变量)之间的统计关系"(Subaveerapandiyan 等人,第 506 页)。调查采用 5 点李克特量表,(1) 非常不同意为最低分,(5) 非常同意为最高分。 数据显示表中包含平均值和标准偏差。数据分析采用了主题分析法。主要结果 - 调查结果列于三个表格中。表 1 "LIS 专业人员对人工智能的认识 "包含 21 个与人工智能在各种图书馆环境和服务中的应用相关的陈述,包括参考(查找文章和引文、内容摘要、检测错误信息)、图书馆资料流通、安全和监控、字符识别和文献保存、研究数据管理、语言翻译等。作者指出,44.1% 的受访者同意 "人工智能对于图书馆服务提供的有效性和效率至关重要,使图书馆能够为其用户增强和提供动态服务"(Subaveerapandiyan 等人,2023 年,第 506 页)。超过 85% 的受访者强烈同意或同意人工智能 "让图书馆工作人员变得懒惰",58.1% 的受访者强烈同意或同意人工智能是 "对图书馆员就业的威胁"(Subaveerapandiyan 等人,2023 年,第 506 页)。作者指出,"受访者还指出了图书馆采用人工智能的障碍,如缺乏图书情报学专业人员的技能和预算限制"(Subaveerapandiyan et al.大多数受访者(平均 65%)都非常赞同 "电子通信、硬件和软件、互联网应用、计算和网络、网络安全和网络管理、数据质量控制、数据整理、数据库管理......是图书情报专业人员精通人工智能所需的必要能力"(Subaveerapandiyan 等人,2023 年,第 506 页)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Evidence Based Library and Information Practice
Evidence Based Library and Information Practice INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
0.80
自引率
12.50%
发文量
44
审稿时长
12 weeks
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