A Review on the Convergence of Artificial Intelligence and Blockchain

With the rapid growth of emerging technologies, the integration of artificial intelligence and blockchain has become one of the most attractive areas in digital transformation. This convergence offers unique opportunities to enhance security, transparency, scalability, and decision-making processes. Using a qualitative and analytical approach, this paper reviews fundamental concepts, key features, and scientific literature to explore the feasibility of combining these two technologies. The results show that this integration provides advantages such as increased trust, autonomy, and operational efficiency in smart systems, particularly in fields like supply chain, financial services, and data management. However, widespread implementation faces challenges such as scalability limitations, execution complexity, and operational costs. The study identifies potential solutions to overcome these challenges and proposes strategies to advance integration. This paper aims to increase accuracy by up to ۹۰% and provide effective tools for researchers and policymakers. It concludes that the convergence of these technologies can pave the way for sustainable transformation in various industries, addressing challenges related to scalability and security, while requiring further research and standardization.

کلیدواژه ها:

Artificial Intelligence ، Blockchain ، Technology Integration ، Convergence