Logo
Munich Personal RePEc Archive

Artificial intelligence in central banking: benefits and risks of AI for central banks

Ozili, Peterson K (2024): Artificial intelligence in central banking: benefits and risks of AI for central banks. Published in:

[thumbnail of MPRA_paper_120151.pdf]
Preview
PDF
MPRA_paper_120151.pdf

Download (247kB) | Preview

Abstract

Artificial intelligence (AI) is a topic of interest in the finance literature. However, its role and implications for central banks have not received much attention in the literature. Using discourse analysis method, this article identifies the benefits and risks of artificial intelligence in central banking. The benefits of artificial intelligence for central banks are that deploying artificial intelligence systems will encourage central banks to develop information technology (IT) and data science capabilities, it will assist central banks in detecting financial stability risks, it will aid the search for granular micro economic/non-economic data from the internet so that the data can support central banks in making policy decisions, it enables the use of AI-generated synthetic data, and it enables task automation in central banking operations. However, the use of artificial intelligence in central banking poses some risks which include data privacy risk, the risk that using synthetic data could lead to false positives, high risk of embedded bias, difficulty of central banks to explain AI-based policy decisions, and cybersecurity risk. The article also offers some considerations for responsible use of artificial intelligence in central banking.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.