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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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[Whitepaper] Trust Verification Gap
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