人工智能素养研究领域:1989 - 2021年文献计量学分析

Kamilla Tenório, Viktoriya Olari, Margarita Chikobava, R. Romeike
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引用次数: 1

摘要

人工智能(AI)素养是一个快速发展的研究领域。由于与人工智能素养相关的出版物范围广泛,为了检查当前科学产出的主要特征,需要对该领域进行全面分析。在此基础上,我们对出版物随时间的演变、研究成分(作者、国家、机构、出版场所)、合作模式和新兴趋势进行了文献计量分析。调查结果指出,美国、中国、西班牙和德国是人工智能扫盲领域贡献最大的国家。此外,对人工智能扫盲领域贡献最大的组织是麻省理工学院、东芬兰大学和佐治亚理工学院。此外,KI - knstliche Intelligenz、ACM Transactions on Computing Education和IEEE Access是最具传播性的期刊,FIE、AAAI、SIGCSE和CHI是最具传播性的人工智能素养研究会议。根据关键词共现分析,机器学习、数据、大数据、深度学习和伦理是被关注最多的人工智能话题。最后,基于已取得的成果,本文的文献计量分析得出了一些关于人工智能读写领域的结论,并指出了未来工作的可能方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Literacy Research Field: A Bibliometric Analysis from 1989 to 2021
Artificial Intelligence (AI) literacy is a rapidly evolving research field. Due to the broad scope of AI literacy-related publications, a comprehensive analysis of the field is needed in order to examine the main characteristics of the current scientific output. Based on it, we conducted a bibliometric analysis of the field where we investigated the publications' evolution over time, research constituents (authors, countries, institutions, publication venues), collaboration patterns, and emerging trends. The findings point out that the United States of America (USA), China, Spain, and Germany are the most contributing countries in the AI literacy field. Moreover, the organizations that most contribute to the AI literacy field are the Massachusetts Institute of Technology, the University of Eastern Finland, and the Georgia Institute of Technology. Furthermore, KI - Künstliche Intelligenz, ACM Transactions on Computing Education, and IEEE Access are the most disseminating journals, and FIE, AAAI, SIGCSE, and CHI are the most disseminating conferences of AI literacy research. According to keywords co-occurrence analysis, machine learning, data, big data, deep learning, and ethics are the most addressed AI topics. Finally, based on the achieved results, this bibliometric analysis draws some conclusions regarding the AI literacy field and points out potential directions for future works.
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