Model Validation and Pre-Deployment Testing

Pre-deployment testing is the last governance gate before an AI system begins making decisions that affect real people — and it needs to be treated with that weight. Performance validation, robustness testing, safety testing, and bias testing each examine different risk dimensions, and the documentation that captures test results creates the audit trail that regulators and internal auditors will examine. Understand the validation process, from test planning through failure remediation and deployment hold decisions.