CKO-038Validation & EvaluationStrong evidence
What is a cumulative evidence base?
A cumulative evidence base is a collection of comparable studies that collectively improve understanding of AI performance.
In more detail
Single studies rarely provide definitive answers. A cumulative evidence base develops when evaluations use compatible methods, datasets and reporting standards that allow findings to be compared and synthesised.
Why it matters
Trust grows through repeated evidence, not isolated studies.
Decision rule
Contribute evaluation findings to the wider community whenever possible.
Common misconception
“One validation study is sufficient.”
At a glance
- Evidence strength
- Strong
Related concepts
Key takeaway
Trustworthy AI requires collective learning.