Synergistic Integration of Artificial Intelligence and Blockchain Technology: Advancements, Applications, and Future Directions

Authors

  • Mohammad Sameer Aloun National University, Jordan

Abstract

conventional The convergence of Artificial Intelligence (AI) and blockchain technology represents a significant innovation with the potential to transform industries by enhancing security, efficiency, and transparency. This paper explores the synergistic integration of AI into blockchain systems, providing a comprehensive review of advancements in AI-enhanced consensus mechanisms, smart contracts, and blockchain security. The paper highlights how AI-driven optimization can overcome traditional blockchain limitations, such as scalability and energy efficiency, while also enhancing the security and functionality of blockchain networks. Applications in finance, supply chain management, and healthcare are examined through detailed case studies, demonstrating the practical benefits of combining AI and blockchain. Despite the promising opportunities, challenges such as computational complexity, scalability, and ethical considerations remain. This paper identifies key areas for future research, focusing on the development of more efficient AI models and ensuring that AI-enhanced blockchain systems adhere to ethical standards and data privacy regulations. The findings suggest that the integration of AI and blockchain could become a cornerstone of future technological advancements, driving innovation across various sectors.

Published

2024-08-19