An AI-first approach to model risk management

Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux

Artificial intelligence is creating new opportunities across a wide range of use cases in the financial industry. Leading firms are looking for opportunities to better balance innovation with risk and to more rapidly scale AI, while preserving—or improving—employee and customer trust.

Yet with innovation come many institutional challenges, especially in risk management.

This article sets out practical considerations for setting up an effective AI risk management governance framework and highlights

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@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe

You are currently unable to copy this content. Please contact info@waterstechnology.com 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 Waterstechnology? View our subscription options

Register for free

Access two articles, our IMD and Waters Wraps, plus a member newsletter. Find out more.

All fields are mandatory unless otherwise highlighted.

Most read articles loading...

You need to sign in to use this feature. If you don’t have a WatersTechnology 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