Show your workings: lenders push to demystify AI models

Machine learning could help with loan decisions – but only if banks can explain how it works. And that’s not easy

From derivatives pricing to credit card fraud detection – and a few places in between – artificial intelligence is extending its reach across the financial sector. But difficulties with explaining to regulators and senior management how self-learning algorithms work continue to hold back the use of machine learning in most banks’ core business of lending.

“Credit underwriting is the highest risk use of this technology and we would expect a great deal of explainability to be provided,” says a

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@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

The changing shape of risk

S&P Global Market Intelligence’s head of credit and risk solutions reveals how firms are adjusting their strategies and capabilities to embrace a more holistic view of risk

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here