Template-Type: ReDIF-Paper 1.0
Author-Name: Douglas Kiarelly Godoy de Araujo
Author-X-Name-First: Douglas
Author-X-Name-Last: Kiarelly Godoy de Araujo
Author-Name: Sebastian Doerr
Author-X-Name-First: Sebastian
Author-X-Name-Last: Doerr
Author-Name: Leonardo Gambacorta
Author-X-Name-First: Leonardo
Author-X-Name-Last: Gambacorta
Author-Name: Bruno Tissot
Author-X-Name-First: Bruno
Author-X-Name-Last: Tissot
Title: Artificial intelligence in central banking
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.
Length: 9 pages
Creation-Date: 2024-01-23
File-URL: https://www.bis.org/publ/bisbull84.pdf
File-Format: Application/pdf
File-Function: Full PDF document
File-URL: https://www.bis.org/publ/bisbull84.htm
File-Format: text/html
Number: 84
Handle: RePEc:bis:bisblt:84