Topic

Model-Risk-Management

Model Risk Management (MRM) is the governance framework that identifies, measures, monitors, and mitigates risks associated with AI and machine learning models throughout their lifecycle. This discipline is critical for enterprises because models can degrade over time, produce biased predictions, or fail under novel conditions, potentially causing significant financial, operational, and reputational harm. Effective MRM requires independent validation of model assumptions, ongoing performance monitoring, documented risk assessments, and clear accountability structures, making it essential for regulatory compliance and responsible AI deployment.

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