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OECD.AI Wonk · July 31, 2026

A five-step roadmap to closing the AI evaluation gap

guide Model EvaluationAI ComplianceAgent Security
Why it matters

The roadmap addresses evaluation results that overstate real-world performance or fail to transfer across deployment contexts. Its five steps balance standardized and local tests, evaluate throughout the lifecycle, build qualified assurance and communication capacity, tailor tests to each value-chain actor and technology, and use a coordinated, trusted process for updating methods.

My takeaway: Build an evaluation plan with a standardized comparison core plus deployment-specific cases, named owners and gates from development through monitoring, qualified independent reviewers, and auditable reporting for affected audiences. Reassess the method whenever the model, tools, users, operating context, or regulatory role changes.
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