Artificial Intelligence: Making crime easier in the world of finance?

Authors

  • Zulfikar Hasan Islamic Banking Study Programme STAIN Bengkalis Riau
  • Diska Sendi Marisna Islamic Banking Study Programme STAIN Bengkalis Riau

DOI:

https://doi.org/10.21580/al-arbah.2024.6.2.22187

Keywords:

Artificial intelligence, financial systems, financial crime

Abstract

Purpose – This paper explores the dual role of artificial intelligence (AI) in the realm of finance, examining its potential to both enhance efficiency and exacerbate vulnerabilities to criminal activities

Method – The research methodology for this study focuses on exploring the relationship between artificial intelligence (AI) and its potential role in facilitating financial crimes. This section outlines the research design, data collection methods, data analysis techniques, and ethical considerations

Result – As AI technologies become increasingly integrated into financial systems, they offer unprecedented opportunities for streamlining operations, optimizing decision-making processes, and enhancing customer experiences. However, this digital transformation also presents new challenges, particularly in terms of security and fraud prevention

Implication – By leveraging advanced algorithms and machine learning techniques, malicious actors may exploit AI-powered systems to perpetrate financial crimes with greater sophistication and scale

Originality – This paper evaluates the implications of this evolving landscape, highlighting the need for robust regulatory frameworks, proactive risk management strategies, and ongoing collaboration between industry stakeholders and law enforcement agencies to mitigate the risks associated with AI-enabled financial crime

Downloads

Download data is not yet available.

References

Al-Laham, M., Al-Tarawneh, H., & Abdallat, N. (2009). Development of Electronic Money and Its Impact on the Central Bank Role and Monetary Policy. Proceedings of the 2009 InSITE Conference, 6. https://doi.org/10.28945/3328

Alda, N. L., & Wulandari, S. (2020). LinkAja Business Models Strategy Development Using BMC Approaches. International Journal of Innovation in Enterprise System, 4(02), 46–59. https://doi.org/10.25124/ijies.v4i02.86

Chiu, J. L., Bool, N. C., & Chiu, C. L. (2017). Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines. Asia Pacific Journal of Innovation and Entrepreneurship, 11(2), 246–278. https://doi.org/10.1108/apjie-08-2017-029

Hanefah, M. M., Kamaruddin, M. I. H., Salleh, S., Shafii, Z., & Zakaria, N. (2020). Internal control, risk and Sharīʿah non-compliant income in Islamic financial institutions. ISRA International Journal of Islamic Finance, 12(3), 401–417. https://doi.org/10.1108/IJIF-02-2019-0025

Hasan, Z. (2021). Appreciative Inquiry Analysis Through SOAR Approach In The Lens Of Shariah In Facing Industry 4.0 On Indonesia’s Islamic Banking. IQTISHADIA: Jurnal Ekonomi Dan Perbankan …, 8(110–124). https://doi.org/10.1905/iqtishadia.v8i1.3752

Hasan, Z., Azlina, N. U. R., & Mansur, M. A. L. (2022). Implementation Of Whistleblowing System To Prevent Sharia Banking Crime In Indonesia. AZKA International Journal Of Zakat & Social Finance (AZJAF), 3(1), 32–52.

Hu, Q., Zhang, L., Zhang, W., & Zhang, S. (2020). Empirical Study on the Evaluation Model of Public Satisfaction With Local Government Budget Transparency: A Case From China. SAGE Open, 10(2). https://doi.org/10.1177/2158244020924064

Lane, J. (2011). A descriptive analysis of qualitative research published in two eminent music education research journals. Bulletin of the Council for Research in Music Education, 188, 65–76. https://doi.org/10.2307/41162330

Mezmir, E. A. (2020). Qualitative Data Analysis: An Overview of Data Reduction, Data Display and Interpretation. Research on Humanities and Social Sciences, 10(21), 15–27. https://doi.org/10.7176/rhss/10-21-02

Natakusumah, E. K. (2016). Bibliometric Analysis of the Inkom Journal (Analisis Bibliometrik Jurnal Inkom). Baca: Jurnal Dokumentasi Dan Informasi, 36(1), 1. https://doi.org/10.14203/j.baca.v36i1.199

Nurwahyudi, N., & Rimawan, E. (2021). Analysis of customer satisfaction in freight forwarder industry using servqual, ipa and fmea methods. Pomorstvo, 35(1), 109–117. https://doi.org/10.31217/p.35.1.12

Prihastono, E. (2012). Pengukuran Kepuasan Konsumen Pada Kualitas Pelayanan Customer Service Berbasis Web. Jurnal Ilmiah Dinamika Teknik, 6(1), 14–24.

Rahman, R. A., & Anwar, I. S. K. (2014). Effectiveness of Fraud Prevention and Detection Techniques in Malaysian Islamic Banks. Procedia - Social and Behavioral Sciences, 145, 97–102. https://doi.org/10.1016/j.sbspro.2014.06.015

Shah, S. A. A., Sukmana, R., & Fianto, B. A. (2021). Efficiencies in Islamic banking: A bibliometric and theoretical review. International Journal of Productivity and Quality Management, 32(4), 458–501. https://doi.org/10.1504/IJPQM.2021.114268

Tijjani, B., Ashiq, M., Siddique, N., Khan, M. A., & Rasul, A. (2020). A bibliometric analysis of quality research papers in Islamic finance: evidence from Web of Science. ISRA International Journal of Islamic Finance, 13(1), 84–101. https://doi.org/10.1108/IJIF-03-2020-0056

Wahyuni-TD, I. S., Haron, H., & Fernando, Y. (2021). The effects of good governance and fraud prevention on performance of the zakat institutions in Indonesia: a Sharīʿah forensic accounting perspective. International Journal of Islamic and Middle Eastern Finance and Management, 14(4), 692–712. https://doi.org/10.1108/IMEFM-03-2019-0089

Yin, E., & Mahrous, A. (2022). Covid-19 global pandemic, workplace spirituality and the rise of spirituality-driven organisations in the post-digital era. Journal of Humanities and Applied Social Sciences. https://doi.org/10.1108/jhass-11-2021-0177

Downloads

Published

2024-11-11

Issue

Section

Articles