Model Risk Management

The process of identifying, assessing, and mitigating risks associated with the use of AI and statistical models in business decisions. This includes evaluating model assumptions, monitoring model performance over time, and implementing controls for potential misuse or degradation. For example, a bank might conduct regular reviews of a credit scoring model to ensure it remains accurate under evolving economic conditions.

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