A Feasibility Study on the Application of Artificial Intelligence in Central Bank Monetary Policies: Money Creation and Liquidity Management in Focus

In the contemporary economic landscape, the implementation of monetary policies constitutes one of the primary responsibilities of central banks, aimed at objectives such as money creation, liquidity management, inflation containment, and recession prevention. With the emergence of advanced technologies, Artificial Intelligence (AI) has gradually evolved into a powerful instrument for enhancing the efficiency and effectiveness of these policies. The adoption of intelligent data processing and analytical techniques enables central banks to monitor liquidity flows, calibrate money supply levels, and forecast economic behaviors more accurately. This study, employing a descriptive-analytical methodology and grounded in legal and economic sources, seeks to address a central question: To what extent can AI contribute to improving the processes of money creation and liquidity control within central banks, and what challenges and considerations are involved in its implementation? The findings suggested that strategic integration of AI into monetary policymaking—particularly in the domain of money creation—can lead to more informed decision-making, mitigation of financial risks, and increased policy effectiveness, thereby fostering greater public confidence in central banking institutions. Nevertheless, such integration necessitates adherence to specific prerequisites and regulatory frameworks, as the application of AI in the field of economics still requires consistent human oversight due to the limited specialized expertise at the intersection of economics and technology.

کلیدواژه ها:

Artificial intelligence (AI) ، Central bank ، Liquidity Management ، Monetary policy ، Money Creation