Effective challenge is the principle in supervisory guidance SR 11-7 that model risk management must include critical analysis by objective, informed parties who can identify model limitations, question assumptions and produce appropriate changes.
In practiceEffective challenge is the qualitative test regulators apply to model validation and governance. It depends on three conditions: incentives, competence and influence. Reviewers must be motivated to challenge, technically capable of doing so and senior enough that their findings produce action. A common failure mode is to treat validation as a checklist exercise carried out by staff who lack authority to block deployment. The principle applies to traditional statistical models and to AI and machine learning models alike.
A bank validating a machine learning credit decision model assigns an independent validation team that reports outside the model owner's chain of command, with authority to escalate findings to the model risk committee before the system enters production.
This definition is maintained by Moweb partners and used in live client engagements. For how Effective challenge applies to your estate, or to challenge a working definition, speak to a partner.