T12. AI system verification and validation

Navigation: AIGA AI Governance Lifecycle > A. AI system > T12. AI system verification and validation (this page)

Task description

Verifying and validating AI system performance is a crucial aspect of AI system development and quality control.

In AI systems with machine learning components, verification will require comprehensive validation testing and theoretical and analytical verification. In many cases, validation will require that the developer organization builds a simulation environment where it can explore algorithm performance using comprehensive samples of real-world, non-training data inputs.

The AI System Owner should ensure that the organization develops appropriate verification and validation methods for adequate AI system performance.