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Many scholarly works have contributed to artificial intelligence (AI) in sustainable finance in recent years. We proposed a qualitative approach to reviewing, assessing, and identifying significant breakthroughs in AI applications in financial applications and services using the Scopus-indexed database, VOSviewer 1.6.19v, and Biblioshiny software to analyze factors such as co-authorship, co-occurrence, and citations. Between 2014 and 2024, we retrieved 159 documents from the Scopus-indexed database. According to the results, there are 108 articles and 51 documents related to their study. The keywords used are artificial intelligence (49%), sustainability (26%), and finance (25%). This review identified research themes, categorized past research sub-themes, and offered insights on AI in sustainable finance. Furthermore, the study applied thematic findings to propose an AI in financial service architecture that bridges the knowledge gap between academia and industry. These findings inform future research and strategic decisions about deploying and optimizing AI technology’s value in banking or insurance for academics, marketers, and decision-makers.

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A Bibliometric Approach of Artificial Intelligence in Sustainable Finance

  • 会议论文

  • 发表日期：

    2026年

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  • K. Sarvani,
  • M. Surya Kameswara Rao,
  • A. Kamala Krishna Priya,
  • V. Praneeth,
  • R. Dinesh

摘要

Many scholarly works have contributed to artificial intelligence (AI) in sustainable finance in recent years. We proposed a qualitative approach to reviewing, assessing, and identifying significant breakthroughs in AI applications in financial applications and services using the Scopus-indexed database, VOSviewer 1.6.19v, and Biblioshiny software to analyze factors such as co-authorship, co-occurrence, and citations. Between 2014 and 2024, we retrieved 159 documents from the Scopus-indexed database. According to the results, there are 108 articles and 51 documents related to their study. The keywords used are artificial intelligence (49%), sustainability (26%), and finance (25%). This review identified research themes, categorized past research sub-themes, and offered insights on AI in sustainable finance. Furthermore, the study applied thematic findings to propose an AI in financial service architecture that bridges the knowledge gap between academia and industry. These findings inform future research and strategic decisions about deploying and optimizing AI technology’s value in banking or insurance for academics, marketers, and decision-makers.