2011 Deep Learning Risk Management Testing 
DataRobot Blog
MAY 26, 2022
To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.
Domino Data Lab
APRIL 3, 2019
Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Fun fact: in 2011 Google bought remnants of what had previously been Motorola. We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks.
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