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Whitepaper

The AI Trust-Verification Gap

Public trust in AI is rising, but confidence is often granted on grounds no one can verify. When an AI-influenced decision is challenged, organizations need more than a claim of accuracy. They need a record of what happened, an explanation of why, and a path to contest the outcome. This whitepaper introduces Verification Coverage, a practical way to measure that gap and close it.

In this whitepaper, you’ll learn:

Why trust is outpacing evidence

How to calculate Verification Coverage

What verifiable AI requires

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