Defining artificial intelligence for librarians
Defining artificial intelligence for librarians
复制标题
为图书馆员定义人工智能
DOI：
10.1177/09610006221142029
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发表时间：
2022
影响因子：
1.7
通讯作者：
Suvodeep Mazumdar
中科院分区：
文献类型：
--
作者：
A. Cox;Suvodeep Mazumdar
本文的目的是通过检查人工智能的一般定义、分析构成人工智能的技术范围、按图书馆运营领域定义用例类型，然后从平等、多样性和包容性的角度反思对行业的影响，为图书馆员定义人工智能 (AI)。这篇论文是基于探索性文献综述的概念性文章，针对从战略而非技术角度对人工智能感兴趣的图书馆员。图书馆确定了五种不同类型的人工智能用例，每种都有自己的潜在驱动因素和障碍以及技能需求。它们是图书馆后端流程、图书馆服务、数据科学家社区、数据和人工智能素养以及用户管理中的应用程序。每个不同的应用程序都有其自己的驱动因素和障碍。很难预测这对专业工作的影响，但随着信息环境变得更加复杂，图书馆员很可能将继续发挥非常重要的作用，特别是考虑到人工智能对数据的依赖。然而，如果人工智能技能不广泛传播，可能会对平等、多样性和包容性产生一些负面影响。
The aim of the paper is to define Artificial Intelligence (AI) for librarians by examining general definitions of AI, analysing the umbrella of technologies that make up AI, defining types of use case by area of library operation, and then reflecting on the implications for the profession, including from an equality, diversity and inclusion perspective. The paper is a conceptual piece based on an exploratory literature review, targeting librarians interested in AI from a strategic rather than a technical perspective. Five distinct types of use cases of AI are identified for libraries, each with its own underlying drivers and barriers, and skills demands. They are applications in library back-end processes, in library services, through the creation of communities of data scientists, in data and AI literacy and in user management. Each of the different applications has its own drivers and barriers. It is hard to anticipate the impact on professional work but as information environment becomes more complex it is likely that librarians will continue to have a very important role, especially given AI’s dependence on data. However, there could be some negative impacts on equality, diversity and inclusion if AI skills are not spread widely.
“我们能利用纳米空间科学做什么？——梦想成真——”
DOI：
--
发表时间：
2014
期刊：
影响因子：
--
作者：
Kouki Kiyota;Hironori Ueno;Keiko Numayama-Tsuruta;Yohsuke Imai;Takami Yamaguchi;Takuji Ishikawa;北川進
通讯作者：
北川進