The impact of machine learning and AI on the UK economy

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.

• The impact of machine learning and AI on the UK economy – conference overview - comments delivered by David Bholat (PDF)

Conference Overview - David Bholat

The history and future of AI - Stuart Russell

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

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

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

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

Ethical and consumer conduct issues raised by AI - Tarun Ramadorai

Machine learning, AI and financial stability - Sheri Markose

Machine learning, AI and financial stability - Jon Danielsson

Machine learning, AI and financial stability - Joel Suss

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

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

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

Labour market and real economy implications - Daniel Susskind

Labour market and real economy implications - Jonathan Haskel

Labour market and real economy implications - Alan Manning

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

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

• Sheri Markose: Novelty Production and Evolvability In Digital Genomic Agents (PDF)
• Tarun Ramadorai: Predictably Unequal? The Effects of Machine Learning on Credit Markets
• Guy Michaels: Individual Consequences of Occupational Decline (PDF)
• SWP No.831 - Predicting bank distress in the UK with machine learning - Joel Suss