操作化
读写能力
功能可见性
知识管理
概念化
数字素养
信息素养
计算机科学
心理学
社会学
人工智能
万维网
教育学
人机交互
认识论
哲学
作者
Dilek Çetindamar,Kirsty Kitto,Mengjia Wu,Yi Zhang,Babak Abedin,Simon Knight
出处
期刊:IEEE Transactions on Engineering Management
[Institute of Electrical and Electronics Engineers]
日期:2022-01-13
卷期号:71: 810-823
被引量:57
标识
DOI:10.1109/tem.2021.3138503
摘要
This article aims to understand the definition and dimensions of artificial intelligence (AI) literacy. Digital technologies, including AI, trigger organizational affordances in workplaces, yet few studies have investigated employees' AI literacy. This article uses a bibliometrics analysis of 270 articles to explore the meaning of AI literacy of employees in the extant literature. Descriptive statistics, keyword co-occurrence analysis, and a hierarchical topic tree are employed to profile the research landscape and identify the core research themes and relevant papers related to AI literacy's definition, dimensions, challenges, and future directions. Findings highlight four sets of capabilities associated with AI literacy, namely technology-related, work-related, human-machine-related, and learning-related capabilities, pointing also to the importance of operationalizing AI literacy for non AI professionals. This result contributes to the literature associated with technology management studies by offering a novel conceptualization of AI literacy and link it to the employee's role in digital workplaces. We conclude by inviting researchers to examine the effect of employee-technology interactions on employees' AI literacy, which might improve the design and use of AI.
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