

Central banks split on machine learning, AI technologies
Respondents optimise features despite drags in data quality, skills gap and algorithmic challenges
Central bank respondents use a number of forms of machine learning (ML) and artificial intelligence (AI) tools, the Fintech Benchmarks 2023 reveal. The technologies are not without their challenges, however.
Half (51%) 35 central banks said they use ML/AI technologies. The challenges institutions face include data quality (49%), acquiring relevant skills (40%), algorithmic fairness (29%), other constraints (23%) privacy (20%) and ethics (14%).
In further comments, many officials said they have
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@centralbanking.com or view our subscription options here: http://subscriptions.centralbanking.com/subscribe
You are currently unable to print this content. Please contact info@centralbanking.com to find out more.
You are currently unable to copy this content. Please contact info@centralbanking.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@centralbanking.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@centralbanking.com