This article delves into the transformative potential of artificial intelligence (AI) in central banking, aiming to enhance decision-making processes and overall accountability within the financial sector. Through discourse analysis of existing literature and expert insights, the study investigates how AI can bolster information technology capabilities, facilitate proactive financial stability risk detection, and enable data-driven policymaking by leveraging granular data analysis. The findings underscore the advantages of AI adoption in central banking, emphasizing the need for responsible AI practices, transparency, and navigating challenges such as data privacy concerns, bias in decision-making processes, and cybersecurity vulnerabilities. By advocating for a culture of responsible AI governance and emphasizing transparency and ethical considerations, central banks can harness the capabilities of AI to improve operational workflows and uphold trust and integrity in the financial ...