Skip to main content
Home

Main navigation

  • Home
  • Series
  • People
  • Depts & Colleges
  • Open Education

Main navigation

  • Home
  • Series
  • People
  • Depts & Colleges
  • Open Education

Is the banking sector about to change for ever?

Series
Futuremakers
Audio Embed
AI is already playing a role in the finance sector, from fraud detection, to algorithmic trading, to customer service, and many within the industry believe this role will develop rapidly within the next few years.
So what does this mean for both the people that work in this sector, and for the role banking and finance plays in society?
Join our host, philosopher Peter Millican, as he explores this topic with Professor Stephen Roberts, Royal Academy of Engineering and Man Group Professor of Machine Learning, Professor Nir Vulkan, a leading authority on e-commerce and market design, and on applied research and teaching on hedge funds, and Jannes Klaas, author of 'Machine Learning for Finance: Data algorithms for the markets and deep learning from the ground up for financial experts and economics'.

More in this series

View Series
Futuremakers

Are all algorithms biased?

Our lives are increasingly shaped by automated decision-making algorithms, but do those have in-built biases? If so, do we need to tackle these, and what could happen if we don't?
Previous
Futuremakers

Is AI good for our health?

Join our host, philosopher Peter Millican, as he explores the topic "Is AI good for our health?"
Next

Episode Information

Series
Futuremakers
People
Peter Millican
Stephen Roberts
Nir Vulkan
Jannes Klaas
Keywords
bias
automation
privacy
data
law
philosophy
Department: Oxford University Development Office
Date Added: 22/10/2018
Duration: 01:02:12

Subscribe

Apple Podcast Audio Audio RSS Feed

Download

Download Audio

Footer

  • About
  • Accessibility
  • Contribute
  • Copyright
  • Contact
  • Privacy
'Oxford Podcasts' Twitter Account @oxfordpodcasts | MediaPub Publishing Portal for Oxford Podcast Contributors | Upcoming Talks in Oxford | © 2011-2022 The University of Oxford