人工智能（AI）的快速发展带来了重大的社会变革，迫切需要健全的AI治理框架。本研究分析了在欧盟《人工智能法案》（EU AI Act）框架内AI治理的研究趋势。本研究进行了文献计量分析，以考察Web of Science数据库中收录的出版物。我们的研究结果表明，与更广泛的AI研究格局相比，关于AI治理的研究，特别是涉及受欧盟《人工智能法案》监管的AI系统的研究，仍然相对有限。尽管如此，跨学科对AI治理日益增长的兴趣是显而易见的，多学科期刊和开放获取出版物做出了显著贡献。主导研究主题包括伦理考量、隐私问题以及生成式AI（如ChatGPT）日益增长的影响。值得注意的是，教育、医疗保健和劳动者管理是突出的应用领域。关键词网络分析突出显示教育、伦理和ChatGPT作为核心关键词，强调了这些领域在当前AI治理研究中的重要性。随后，基于文献计量分析结果进行了全面的文献综述，以识别欧盟《人工智能法案》各分类中的研究趋势、挑战和见解。研究结果为研究人员和政策制定者提供了有价值的见解，为未来的研究方向提供信息，并有助于在欧盟《人工智能法案》之外发展全面的AI治理框架。
英文摘要：
The rapid advancement of artificial intelligence (AI) has brought about significant societal changes, necessitating robust AI governance frameworks. This study analyzed the research trends in AI governance within the framework of the EU AI Act. This study conducted a bibliometric analysis to examine the publications indexed in the Web of Science database. Our findings reveal that research on AI governance, particularly concerning AI systems regulated by the EU AI Act, remains relatively limited compared to the broader AI research landscape. Nonetheless, a growing interdisciplinary interest in AI governance is evident, with notable contributions from multi-disciplinary journals and open-access publications. Dominant research themes include ethical considerations, privacy concerns, and the growing impact of generative AI, such as ChatGPT. Notably, education, healthcare, and worker management are prominent application domains. Keyword network analysis highlights education, ethics, and ChatGPT as central keywords, underscoring the importance of these areas in current AI governance research. Subsequently, a comprehensive literature review was undertaken based on the bibliometric analysis findings to identify research trends, challenges, and insights within the categories of the EU AI Act. The findings provide valuable insights for researchers and policymakers, informing future research directions and contributing to developing comprehensive AI governance frameworks beyond the EU AI Act.
From Patterns to Policy: A Scoping Review Based on Bibliometric Analysis (ScoRBA) of Intelligent and Secure Smart Hospital Ecosystems
Metrics Research Institute and Statistics Consulting（计量研究所与统计咨询）；Department of Information Technology, Universitas Amikom Purwokerto（阿米科姆普沃克托大学信息技术系）；Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada（加查马达大学电气与信息工程系）；Faculty of Computer Science, Universitas Dian Nuswantoro（迪安努桑塔罗大学计算机科学系）；Department of Health Information Management, Universitas Indonesia Maju（印尼进步大学健康管理系）
Unlike most bibliometric studies focusing on publications, taking Big Data research as a case study, we introduce a novel bibliometric approach to unfold the status of a given scientific community from an individual level perspective. We study the academic age, production, and research focus of the community of authors active in Big Data research. Artificial Intelligence (AI) is selected as a reference area for comparative purposes. Results show that the academic realm of "Big Data" is a growing topic with an expanding community of authors, particularly of new authors every year. Compared to A…
Measures for research activity and impact have become an integral ingredient in the assessment of a wide range of entities (individual researchers, organizations, instruments, regions, disciplines). Traditional bibliometric indicators, like publication and citation based indicators, provide an essential part of this picture, but cannot describe the complete picture. Since reading scholarly publications is an essential part of the research life cycle, it is only natural to introduce measures for this activity in attempts to quantify the efficiency, productivity and impact of an entity. Citation…
Objective. To perform a modern bibliometric analysis of the research based on the Roy Adaptation Model, a founding nursing model proposed by Sor Callista Roy in the1970s. Method. A descriptive and longitudinal study. We used information from the two dominant scientific databases, Web Of Science and SCOPUS. We obtained 137 publications from the Core Collection of WoS, and 338 publications from SCOPUS. We conducted our analysis using the software Bibliometrix, an R-package specialized in creating bibliometric analyses from a perspective of descriptive statistics and network analysis, including c…
The European Union (EU) has been pursuing a new strategy under the umbrella label of digital sovereignty. Data is an important element in this strategy. To this end, a specific Data Governance Act was enacted in 2022. This new regulation builds upon two ideas: reuse of data held by public sector bodies and voluntary sharing of data under the label of data altruism. This short commentary reviews the main content of the new regulation. Based on the review, a few points are also raised about potential challenges.
To begin to understand the implications of the implementation of IT-mediated Crowds for Politics and Policy purposes, this research builds the first-known dataset of IT-mediated Crowd applications currently in use in the governance context. Using Crowd Capital theory and governance theory as frameworks to organize our data collection, we undertake an exploratory data analysis of some fundamental factors defining this emerging field. Specific factors outlined and discussed include the type of actors implementing IT-mediated Crowds in the governance context, the global geographic distribution of…
Satellite imagery is gaining popularity as a valuable tool to lower the impact on natural resources and increase profits for farmers. The purpose of this study is twofold: to mine the scientific literature to reveal the structure of this research domain, and to investigate to what extent scientific results can reach a wider public audience. To meet these two objectives, a Web of Science and a Twitter dataset were retrieved and analysed, respectively. For the academic literature, different performances of various countries were observed: the USA and China resulted as the leading actors, both in…
In recent years the cybersecurity policy debate in Washington has been dominated by calls for greater information sharing within the private sector, and between the private sector and the federal government. The passage of the Cybersecurity Information Sharing Act (CISA) (signed into law under the Cybersecurity Act of 2015) underscored federal efforts to collect information from the private sector, and assuaged some concerns regarding private sector liability in sharing activities. However, the law lacked specificity on how continued federal efforts would work with existing information sharing…
Artificial intelligence (AI) governance is the body of standards and practices used to ensure that AI systems are deployed responsibly. Current AI governance approaches consist mainly of manual review and documentation processes. While such reviews are necessary for many systems, they are not sufficient to systematically address all potential harms, as they do not operationalize governance requirements for system engineering, behavior, and outcomes in a way that facilitates rigorous and reproducible evaluation. Modern AI systems are data-centric: they act on data, produce data, and are built t…
A Robust Governance for the AI Act: AI Office, AI Board, Scientific Panel, and National Authorities
University of Bologna（博洛尼亚大学）；European New School of Digital Studies（欧洲数字研究新学院）；European University Viadrina（欧洲维阿德里纳大学）；Yale University（耶鲁大学）；University of Agder（阿格德大学）；University of Oslo（奥斯陆大学）；University of California, Berkeley（加州大学伯克利分校）
