AI and Blockchain Integration in Finance


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

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 15 to 20 days to display the article.


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 :

  1. Kumar, R., & Sharma, M. (2021). Data security using blockchain in AI systems. Future Internet.
  2. Nguyen, Q. K., Ding, Y., & Zhu, S. (2022). AI in blockchain cybersecurity. Computers & Security.
  3. Singh, S., Verma, P., & Kaur, A. (2023). Decentralized AI and blockchain. Journal of Emerging Technologies.
  4. Singh, K., & Shivaprasad, G. (2023). Blockchain-powered enhancement of financial network security. IEEE Conference Proceedings.
  5. Tiwari, A., Kanjolia, A., Kumar, B., & Mehra, P. S. (2024). AI and blockchain for financial applications. Journal of Computational Finance.
  6. Xiao, Y., Zhang, N., Lou, W., & Hou, Y. T. (2022). AI-driven blockchain optimizations. IEEE Communications Surveys & Tutorials.
  7. 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.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe