The Role of Artificial Intelligence in Financial Fraud Detection

Authors

  • Jordan White
  • Cameron Davis
  • Casey Edwards

Keywords:

AI, fraud, finance, technology, detection

Abstract

This study examines the utilization of artificial intelligence (AI) in detecting financial fraud across global markets. The authors explore various AI technologies, such as machine learning and neural networks, and their effectiveness in identifying fraudulent activities. The paper highlights real-world applications and case studies, demonstrating AI's potential in enhancing accuracy and efficiency in fraud detection. Challenges such as data privacy, algorithmic bias, and regulatory compliance are also discussed. The study concludes with future directions for AI deployment in the finance industry.

Author Biographies

Jordan White

PhD
Kyiv Polytechnic Institute
Peremohy Ave, 37, Kyiv, Ukraine, 03056

Cameron Davis

MSc
Massachusetts Institute of Technology
77 Massachusetts Ave, Cambridge, MA 02139, USA

Casey Edwards

MBA
Tsinghua University
Haidian District, Beijing, China, 100084

References

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Kelmendi, J., Beqiri, A., Shuajibi, E., Talibzade, O., & Ketners, K. (2025). THE ECONOMIC IMPACT OF GEOPOLITICAL TENSIONS ON GLOBAL TRADE AND SUPPLY NETWORKS. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(2), 839-855.

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Published

2025-10-28

Issue

Section

Articles