Leveraging artificial intelligence for enhanced decision-making in finance: trends and future directions
通过分析1991至2023年间的科学出版物，用文献计量方法梳理了人工智能在金融领域的研究演变，发现研究呈指数增长，并指出AI在欺诈检测、算法交易等应用外，还推动战略、监管和伦理变革，但存在研究碎片化问题。
Purpose This paper aims to analyze the evolution and impact of artificial intelligence (AI) in the financial industry by examining the growth of scientific publications from 1991 to 2023. Design/methodology/approach The study employs a bibliometric analysis to quantify and visualize the evolution of AI research in finance. We analyze publication trends, citation patterns, and collaboration networks. Thematic keyword analysis is conducted to track the emergence of dominant research themes over time, identifying key areas where AI is influencing financial services. Findings The study confirms an exponential growth in research output on AI applications in finance, particularly in recent years. This growth is driven by increasing interest in machine learning algorithms, big data analytics and automation in financial decision-making. Leading academic journals and institutions have played a crucial role in shaping discourse around AI-driven financial transformation. Thematic networks reveal a dual influence: AI is not only enhancing technical aspects such as fraud detection, algorithmic trading and credit scoring but is also contributing to broader strategic shifts in financial regulation, customer experience and ethical considerations. However, the rapid expansion of research has led to fragmentation, with diverse subfields developing independently. This fragmentation, along with ethical and regulatory challenges, underscores the need for interdisciplinary collaboration and policy frameworks to guide responsible AI adoption. Originality/value The findings contribute to academic and industry debates by offering a structured understanding of AI’s impact on finance and proposing pathways for future interdisciplinary research and ethical governance.