AI Verification
AI verification is checking what a model actually claimed against the sources it should have relied on, after generation. Grounding improves what goes in; verification tests what came out. The two are routinely conflated, and the distinction matters because a well-grounded system can still produce a fluent claim no source supports, and only a check after the fact will catch it.
Related terms
Where this term is used
On The AI Brain
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The Al Jazeera Research Demonstration
Same frontier model, three conditions, categorically different output.
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World Context: Autonomous Intelligence at Scale
Autonomous intelligence — self-scoring methodology, zero human curation.
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The AI Audit Panel: verification built into the architecture
How COVE — our production implementation of Chain-of-Verification (CoVe, Meta AI / ETH Zurich) — reduces hallucinations ~35% and makes every claim auditable.