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AI and Machine Learning for Credit Rating Models:​ Part I - A brief overview of the regulatory landscape

Posted on Mar 30, 2022

The rising popularity in AI is creating new opportunities within financial services especially for prudential regulatory modelling.

Historically, firms have been wary of using machine learning for calculating own funds requirements largely because of the challenges associated with AI. However, recently regulators and supervisors around the world have issued their thoughts and best practices on the safe adoption of AI.

In this first part in our new series on AI and machine learning for credit rating models, we dive into the regulatory landscape on AI adoption.

Read our introduction on AI and Machine Learning for Credit Rating Models here.


For more information or if you have any questions please contact:

Dr. Andreas Peter
Managing Partner
Fintegral Deutschland AG
+49 160 583 40 66
andreas.peter@fintegral.com

Samuele D'Altri
Senior Manager
Fintegral UK Ltd.
+44 7494 855 102
samuele.daltri@fintegral.com

Abdul Qaiyum
Senior Consultant
Fintegral UK Ltd.
+44 7496 363 298
abdul.qaiyum@fintegral.com


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