Application of artificial intelligence in promoting economic transparency and optimizing liquidity management

Abstract

This study examines the transformative role of Artificial Intelligence (AI) in improving economic transparency and liquidity management. AI technologies, such as machine learning and predictive analytics, significantly enhance the accuracy and timeliness of economic data analysis, assisting financial institutions and central banks in decision-making. The study emphasizes the need for robust regulatory frameworks to ensure the ethical use of AI, with a focus on data privacy and algorithmic transparency. Key recommendations include enhancing high-quality data collection, promoting interdisciplinary collaboration, utilizing AI for real-time market monitoring, addressing algorithmic biases, and increasing transparency in AI models. The research also underscores the importance of continuous education and training for financial professionals and advocates for ethical AI practices to build market trust. By strategically integrating AI and supporting ongoing innovation, this study aims to optimize liquidity management and strengthen economic stability while addressing technical and ethical challenges in the financial sector.