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1 minute readReference note

How can brands improve AI accuracy without disclosing confidential business information?

In brief

AI accuracy can often improve through clearer public facts without releasing confidential information. The company can explain identity, scope, decision criteria, and available capabilities at an appropriate level. Some claims cannot be fully verified by outsiders when the relevant evidence must remain private, and that boundary should not be disguised.

The distinction is between what the business knows internally and what the public record can support. A confidential client relationship cannot become a public endorsement because it would be convenient evidence. An anonymized example also needs enough truthful context to avoid implying a result or relationship it does not demonstrate.

Use public evidence that answers the actual misunderstanding: a current policy, approved product description, or published record. Where disclosure limits leave questions open, state the available facts and the specific information that remains private. Separate false assertions, unverified claims, and unanswered questions so the public account stays accurate within those limits.

Source

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Generative Artificial Intelligence Profile, NIST AI 600-1 ↗National Institute of Standards and Technology
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