AI in financial services: an update from the Bank of England
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The Bank of England (BoE) has recently published some useful insights into its strategy for the deployment of AI. This transparency is intended to provide BoE staff and the public with a clear understanding of how AI is being utilised by the BoE in line with its statutory objectives of monetary and financial stability. It is also potentially informative for the wider financial services community as it continues its AI journey without any AI-specific rules or guidance in place.
Key elements of the BoE's AI strategy
There are four essential pillars to the BoE's AI strategy, which focuses on productivity, experimentation, and the responsible use of AI. These pillars are:
More to do in order to progress the BoE's AI journey
It is clear from reading the BoE's strategy that although it has been using, researching and experimenting with advanced technology including AI for many years, it still has more to achieve. In particular, the BoE notes that while it can already see benefits, there is the need, and room, for continued work, including in relation to:
Key takeaways for other financial services entities
If you are presently somewhere along your AI journey and are feeling in need of some guidance about how best to go about things, then taking inspiration from the BoE's approach would likely be no bad route to take. Central to the BoE's approach is its TRUSTED framework:
Some practical tips and thoughts based on the BoE's strategy:
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If you would like to discuss how current or future regulations impact what you do with AI, please contact me, Tom Whittaker, or Martin Cook. You can meet our financial services experts here and our technology experts here.
We have created this standalone strategy so our staff and the public have a clear understanding of what the future of AI will look like at the Bank, and how this aligns with the Bank’s overall objective to promote the good of the people of the United Kingdom by maintaining monetary and financial stability.