Scholarlink

Artificial intelligence (AI) has emerged as a significant transformation technology in financial risk management, to support institutions in assessing, forecasting, and mitigating multiple forms of risks such as credit, market, operational, and model risk. This paper advances an extensive bibliometric investigation of AI applications in risk management in the financial sector around the world (2010–2025), utilizing 308 papers collected from Scopus. The study employs Bibliometrix/Biblioshiny to map publication trends, key authors, institutions, and the thematic structure illustrating the intellectual progression of the field. From the analysis, India, China and USA rank strongly in the bibliometric analysis, and a thematic evolution is evident moving from purely conceptual AI research to applications and interdisciplinary contexts. The results highlight the importance of AI in strengthening financial resilience and are socially conscientious with the United Nations Sustainable Development Goals (SDG 9). The paper concludes with a future agenda, identifying current research gaps and future research opportunities on themes with regulatory compliance, ESG incorporation, and data ethics.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial Intelligence in Financial Sector Risk Management: Bibliometric Analysis (2010–2025)

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Jatinder Mohan Singh Shah,
  • Shalini Aggarwal,
  • Prerna Dhawan

摘要

Artificial intelligence (AI) has emerged as a significant transformation technology in financial risk management, to support institutions in assessing, forecasting, and mitigating multiple forms of risks such as credit, market, operational, and model risk. This paper advances an extensive bibliometric investigation of AI applications in risk management in the financial sector around the world (2010–2025), utilizing 308 papers collected from Scopus. The study employs Bibliometrix/Biblioshiny to map publication trends, key authors, institutions, and the thematic structure illustrating the intellectual progression of the field. From the analysis, India, China and USA rank strongly in the bibliometric analysis, and a thematic evolution is evident moving from purely conceptual AI research to applications and interdisciplinary contexts. The results highlight the importance of AI in strengthening financial resilience and are socially conscientious with the United Nations Sustainable Development Goals (SDG 9). The paper concludes with a future agenda, identifying current research gaps and future research opportunities on themes with regulatory compliance, ESG incorporation, and data ethics.