Representative production evidence supporting the stated: What evidence is most relevant before continuing the
Broad accuracy advertising requires evidence representative of the claimed production scope, including categories where performance is lower.
The question
A US insurer advertises an AI operations tool as achieving 99% accuracy across claims. Internal testing reaches that figure only on a balanced pilot sample; production data show lower accuracy for two claim categories. What evidence is most relevant before continuing the claim?
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- The pilot’s balanced sample and aggregate accuracy result.A balanced pilot may inform performance, but aggregate results alone do not support a broad production claim when category-specific accuracy differs.
- The vendor’s general reputation for reliable AI products.Reputation does not establish that this tool achieves the advertised accuracy across the relevant production population and categories.
- Representative production evidence supporting the stated accuracy. ✓Substantiation should reflect the advertised scope, making representative production performance across claim categories directly relevant to the accuracy statement.
- A disclaimer stating that results may vary.A disclaimer may qualify communications, but it does not substantiate a precise accuracy claim contradicted by production-category evidence.
The trap
Match the evidence population and performance measure to the exact scope of the advertised claim. How to remember it
Broad accuracy advertising requires evidence representative of the claimed production scope, including categories where performance is lower.
How many of these would you get right?
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