CKO-005Validation & EvaluationStrong evidence
What is validation?
Validation is the process of determining whether an AI system performs reliably and accurately for its intended task.
In more detail
Validation involves testing a system against known standards or human judgements to determine whether it performs as expected. Validation may involve benchmarking, external testing, SWARs and real-world implementation studies. Validation should be task-specific and context-specific.
Why it matters
Without validation there is no basis for trusting AI outputs.
Decision rule
Do not use AI systems for important tasks unless appropriate validation evidence exists.
Common misconception
“A tool works because the vendor says it works.”
At a glance
- Evidence strength
- Strong
Related concepts
Key takeaway
Trust should be earned through evidence, not marketing.