Test accuracy separately on representative scripts | AIGP
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Test accuracy separately on representative scripts: Which evidence would resolve that uncertainty under the

AIGP Understanding How to Govern AI Development Medium

Test the acceptance criterion in each intended format and language rather than relying on an aggregate result.

The question

A media company proposes releasing a content assistant after meeting an overall acceptance threshold for factual accuracy. Reviewers are uncertain whether the threshold holds for long-form scripts and multilingual captions, both intended uses. Which evidence would resolve that uncertainty under the company’s release criteria?

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  1. Repeat the aggregate accuracy benchmark.
    Repeating the aggregate benchmark may reproduce the same uncertainty because it does not isolate the specified formats and languages.
  2. Test accuracy separately on representative scripts and captions.
    Separate representative testing directly evaluates the acceptance criterion under both intended formats, including the multilingual condition.
  3. Collect additional user satisfaction ratings.
    Satisfaction can inform usability, but it does not directly establish factual accuracy for long-form scripts or multilingual captions.
  4. Review the supplier’s general benchmark across its reported test conditions.
    A supplier benchmark may use different formats, languages, data, or evaluation criteria and therefore does not directly validate this deployment’s intended uses.
The trap
Match evidence dimensions to the unresolved uncertainty: format, language, subgroup, environment, or risk type.

How to remember it

Test the acceptance criterion in each intended format and language rather than relying on an aggregate result.

How many of these would you get right?

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