Blockchain and Artificial Intelligence in Combating Financial Corruption: A Systematic Literature Review

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Published Jan 23, 2026
https://doi.org/10.21098/jcli.v5i1.412


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Vol. 5 No. 1 (2026)

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Rimal Mahdani
Universitas Teuku Umar
Dara Angreka Soufyan
Universitas Teuku Umar
https://orcid.org/0000-0001-8306-4576

Abstract

Corruption in the financial sector threatens economic stability, resource allocation, and public trust. This study explores how blockchain and artificial intelligence (AI) can combat this corruption. Using a systematic literature review (SLR) guided by the PRISMA methodology, we analysed articles from 2020 to 2024. Findings show that blockchain enhances transparency through immutable, decentralised ledgers, while AI improves fraud detection through realtime anomaly detection and predictive analytics. Case studies reveal successful applications, such as greater accountability in public procurement and enhanced fraud detection in banking. However, adoption of these technologies faces challenges, including scalability, regulatory hurdles, and data privacy concerns. Integrating blockchain and AI into financial institutions’ operations can strengthen existing anti-corruption measures, boosting transparency and accountability. Yet, this study is limited by the technologies’ early development stage and the shifting regulatory environment. Future research should address barriers to unlocking the full potential of AI and blockchain to build a more equitable financial system.

Keywords: blockchain, AI, financial corruption, transparency, fraud detection

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How to Cite
Mahdani, R., & Angreka Soufyan, D. (2026). Blockchain and Artificial Intelligence in Combating Financial Corruption: A Systematic Literature Review. Journal of Central Banking Law and Institutions, 5(1), 125–152. https://doi.org/10.21098/jcli.v5i1.412

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