Artificial intelligence in central banking
BIS Bulletin
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No
84
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23 January 2024
Key takeaways
- Central banks have been early adopters of machine learning techniques for statistics, macro analysis, payment systems oversight and supervision, with considerable success.
- Artificial intelligence brings many opportunities in support of central bank mandates, but also challenges – some general and others specific to central banks.
- Central bank collaboration, for instance through knowledge-sharing and pooling of expertise, holds great promise in keeping central banks at the vanguard of developments in artificial intelligence.
The views expressed in this publication are those of the authors and not necessarily those of the BIS.