The impact of machine learning and AI on the UK economy

The Bank of England, Centre for Economic Policy Research (CEPR) and Brevan Howard Centre at Imperial College Business School joined together to deliver ‘The Impact of Machine learning and AI on the UK Economy’ conference.

Conference date: 25 and 26 March 2020

Location: Bank of England, Threadneedle Street

At the end of March we were due to host ‘The impact of machine learning and AI on the UK economy’ conference. In light of the Government’s advice we had to amend the way in which this was hosted. With thanks to the many panellists for contributing, various presentations and videos, including the keynote from Stuart Russell, are available below. 

The purpose of the conference was to stimulate academic research on how machine learning and AI will impact issues that matter to the Bank of England’s policy objectives. 

If you have any questions or queries for our speakers please email stakeholderrelations@bankofengland.co.uk.

Below are recordings given by David Bholat, Guy Michaels, James Proudman, Louise Herring, Nicholas Crafts, Paul Grout, Sheri Markose, Jon Danielsson, Stuart Russell, Tarun Ramadorai, Giacomo Calzolari, Alan Manning, Bonnie Buchanan, Gareth Ramsay, Joel Suss, Jonathan Haskel and Misa Tanaka.

Conference Overview - David Bholat

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The history and future of AI - Stuart Russell

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‘Fourth Industrial Revolution’: Fact or Fiction? - Nicholas Crafts

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‘Fourth Industrial Revolution’: Fact or Fiction? - Guy Michaels

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The impact of machine learning on UK financial services - Bonnie Buchanan

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The impact of machine learning on UK financial services - Louise Herring

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Ethical and consumer conduct issues raised by AI - Tarun Ramadorai

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Machine learning, AI and financial stability - Sheri Markose

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Machine learning, AI and financial stability - Jon Danielsson

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Machine learning, AI and financial stability - Joel Suss

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New competitive dynamics created by machine learning and AI - Giacomo Calzolari

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New competitive dynamics created by machine learning and AI - Paul Grout

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New competitive dynamics created by machine learning and AI - Misa Tanaka

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Labour market and real economy implications - Daniel Susskind

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Labour market and real economy implications - Jonathan Haskel

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Labour market and real economy implications - Alan Manning

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Applying machine learning and AI in central banking and regulation - Gareth Ramsay

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Applying machine learning and AI in central banking and regulation - James Proudman

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This page was last updated 15 May 2020

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