Model Validation
The process of evaluating a trained model against predefined criteria, including performance benchmarks, fairness metrics and robustness tests, before deployment to production.
In plain language
The quality control phase before an AI goes live. Does it meet accuracy targets? Is it fair? Is it secure? Like a checkpoint before a product reaches customers.
Why this matters
Model validation is a critical governance checkpoint. Your framework must define validation criteria for accuracy, fairness, security and robustness, and no model should reach production without passing.
Relevance
GovernanceValidation is a mandatory governance gate that ensures AI systems meet documented standards before deployment.
Related terms
Putting model validation into practice in your organisation?
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