Data sharing as a policy intervention
Increasing access to data represents another policy lever regulators can pull to achieve their objectives, writes David Bholat
The recent and spectacular advances made in generative artificial intelligence (AI) have been possible because of shared data. Chat GPT and other large language models were trained on gigabytes of text available freely from the internet. The strong link between advances in AI and ample IA (information availability) is reflected in the UK government’s National AI Strategy, which highlights data-sharing as a critical catalyst.
Central banks and financial regulators can play constructive roles
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.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
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. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@centralbanking.com