Authors :
Chetankumar Prajapati
Volume/Issue :
Volume 10 - 2025, Issue 3 - March
Google Scholar :
https://tinyurl.com/3epwar9z
Scribd :
https://tinyurl.com/2hetu8p9
DOI :
https://doi.org/10.38124/ijisrt/25mar1105
Google Scholar
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Abstract :
The convergence of Artificial Intelligence (AI) and Blockchain technology is reshaping the financial industry. AI
enables intelligent data analysis, fraud detection, and automation, while blockchain ensures decentralized, secure, and
transparent record-keeping. This paper explores the integration of AI and blockchain in financial applications, focusing
on security, decentralization, smart contracts, and AI-driven consensus mechanisms. A review of 20+ scholarly sources
from IEEE and ScienceDirect highlights opportunities, challenges, and future research directions. While the synergy
between AI and blockchain presents promising applications in finance, regulatory hurdles, scalability issues, and
computational overhead pose challenges. The study concludes that AI-blockchain integration has the potential to enhance
financial services, improve efficiency, and establish new trust models, but requires careful implementation and
governance.
Keywords :
Artificial Intelligence, Blockchain, Smart Contracts, Financial Security, Decentralization, AI-driven Consensus.
References :
- Kumar, R., & Sharma, M. (2021). Data security using blockchain in AI systems. Future Internet.
- Nguyen, Q. K., Ding, Y., & Zhu, S. (2022). AI in blockchain cybersecurity. Computers & Security.
- Singh, S., Verma, P., & Kaur, A. (2023). Decentralized AI and blockchain. Journal of Emerging Technologies.
- Singh, K., & Shivaprasad, G. (2023). Blockchain-powered enhancement of financial network security. IEEE Conference Proceedings.
- Tiwari, A., Kanjolia, A., Kumar, B., & Mehra, P. S. (2024). AI and blockchain for financial applications. Journal of Computational Finance.
- Xiao, Y., Zhang, N., Lou, W., & Hou, Y. T. (2022). AI-driven blockchain optimizations. IEEE Communications Surveys & Tutorials.
- Zhang, W., & Chen, L. (2021). Smart contract automation with AI integration. Blockchain: Research and Applications.
The convergence of Artificial Intelligence (AI) and Blockchain technology is reshaping the financial industry. AI
enables intelligent data analysis, fraud detection, and automation, while blockchain ensures decentralized, secure, and
transparent record-keeping. This paper explores the integration of AI and blockchain in financial applications, focusing
on security, decentralization, smart contracts, and AI-driven consensus mechanisms. A review of 20+ scholarly sources
from IEEE and ScienceDirect highlights opportunities, challenges, and future research directions. While the synergy
between AI and blockchain presents promising applications in finance, regulatory hurdles, scalability issues, and
computational overhead pose challenges. The study concludes that AI-blockchain integration has the potential to enhance
financial services, improve efficiency, and establish new trust models, but requires careful implementation and
governance.
Keywords :
Artificial Intelligence, Blockchain, Smart Contracts, Financial Security, Decentralization, AI-driven Consensus.