Model Validation

The process of evaluating a trained model against predefined criteria, including performance benchmarks, fairness metrics and robustness tests, before deployment to production.

The testing phase before an AI goes live. Does it meet accuracy targets? Is it fair? Is it safe? Like a quality control checkpoint before a product ships to customers.

Model validation is a critical governance checkpoint. Your framework should define validation criteria for accuracy, fairness, security and robustness and no AI model should proceed to production without passing validation.