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This is a Quantitative Study study.

September 30, 2025

Artificial intelligence in central banks: Governance and implementation

Puntos clave

AI implementation in central banks is strategically important, emphasizing the need for robust governance.
Effective user-focused applications and risk mitigation are key aspects of AI governance in financial institutions.
Access to more computational power poses challenges in the implementation of AI within central banks.
Priorities for maximizing AI benefits include enhancing data management, infrastructure, and governance frameworks.

Resumen

This paper discusses the implementation and governance of artificial intelligence (AI) in central banks, drawing on a survey by the Irving Fisher Committee on Central Bank Statistics (IFC) of the Bank for International Settlements (BIS). AI has become strategically important for central banks, with the main question being how to use it effectively and responsibly to support their tasks and guide decision-making. Central banks’ experience shows that AI deployment is being complemented with adequate and robust governance, especially to ensure the development of effective user-focused applications and mitigate the associated risks. However, AI implementation also brings several IT challenges, including the pressing yet costly need to access more computational power. Looking ahead, making further progress on data management, governance and infrastructure, as well as ensuring that society can keep accessing high-quality reference information appear to be key priorities for making the most of AI opportunities.

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