Artificial intelligence in central banking

Douglas Araujo, Sebastian Doerr, Leonardo Gambacorta and Bruno Tissot

No 84, BIS Bulletins from Bank for International Settlements

Abstract: 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.

Pages: 9 pages
Date: 2024-01-23
New Economics Papers: this item is included in nep-cmp, nep-mon and nep-pay
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