Examine representative defect data supporting: Before approving the claim, which evidence best resolves
Representative outcome data tests whether the specific manufacturing accuracy and bias claims are substantiated before publication.
The question
A US manufacturer plans to advertise that an AI quality tool reduces defects and performs fairly. Before approving the claim, which evidence best resolves whether the marketing statement is substantiated under US consumer-protection and competition rules?
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- Collect customer testimonials, supplier assurances, and a disclaimer for the product page.Testimonials, assurances, and disclaimers may inform communications but do not independently substantiate measurable capability or fairness claims.
- Review the model’s interface and confirm it identifies as AI.Disclosure about the technology does not establish that performance or fairness claims are accurate and adequately supported.
- Examine representative defect data supporting the advertised accuracy and bias claim. ✓Representative outcome data directly tests whether the manufacturer can substantiate the specific accuracy, defect-reduction, and bias statements.
- Compare the claim with a general industry benchmark.A benchmark may provide context, but it does not substantiate this tool’s advertised accuracy, defect reduction, or bias performance.
The trap
Match evidence to the precise claim; labels, disclaimers, and supplier assurances do not replace substantiation. How to remember it
Representative outcome data tests whether the specific manufacturing accuracy and bias claims are substantiated before publication.
How many of these would you get right?
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Every answer, right and wrong, comes with its own explanation.
