Model Risk Management: Meeting Regulatory Expectations for AI
Summary
Regulatory model risk management requirements are challenging for complex AI. Best practices include thorough documentation, validation, and continuous monitoring.
The OCC and Federal Reserve have clear expectations for model risk management. As AI models become more complex, meeting these requirements becomes more challenging. This article examines best practices for documenting, validating, and monitoring ML models in regulated environments.
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