Artificial Intelligence and Financial Regulation Issues
DOI:
https://doi.org/10.58968/ift.v2i1.594Keywords:
AI and Financial Regulation, Research Map, BibliometricAbstract
This study aims to see the development of research on the topic of "AI and Financial Regulation" and research plans that can be carried out based on journals published on the theme. This research uses a qualitative method with a bibliometric analysis approach. The data used is secondary data with the theme "AI and Financial Regulation" which comes from the Dimension database with a total of 90 journal articles. Then, the data is processed and analyzed using the VosViewer application with the aim of knowing the bibliometric map of "AI and Financial Regulation" research development in the world. The results of the study found that in bibliometric author mapping the authors who published the most research on the theme "AI and Financial Regulation" were Khan S; Treleaven P.; Chaquet-Ulldemolins J.; and Trakman L. Furthermore, based on bibliometric keyword mapping, there are 3 clusters with the most used words are system, model, fintech, application, innovation, analysis, industry, impact, risk, bank, and impact. Then, the research path topics related to AI and Financial Regulation are The use of AI in financial regulatory oversight, The influence of AI on financial regulation, and Financial AI regulatory compliance and Covid-19 pandemic.
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