Service

Applied Verification

Applied Verification tests claims about AI systems against evidence. A review does not advocate for or against any vendor. It asks a bounded question, gathers evidence, and reports what the evidence supports — with a severity rating and a stated confidence level.

Findings, not advocacy.

Four dimensions

Every review examines the claim through four dimensions:

Evidence integrity

Can the claim be traced to its sources, checked, and corrected?

Authority boundaries

What may the system decide, and who remains responsible?

Human agency

Does automation preserve meaningful choice and intervention?

Relational and system health

Does the system strengthen or weaken people's capacity to bear disagreement, uncertainty, and silence?

How a review works

Every finding states the claim examined, the evidence, a severity rating (protective / neutral / concerning / severe), a confidence level (confirmed / probable / insufficient), and what would change the assessment. Reviews are followable: another reviewer working from the same evidence can reproduce the finding or explain the difference.

The engagement

Applied Verification is an independent, evidence-based review of AI systems, claims, and workflows. The scope is fixed before work begins.

Request a review

Have a claim worth testing?

Name the claim, the system, or the workflow. The first conversation is about scope — what question the review will answer, and what it will not.

The Emergence Institute: Collective Charter Community Gallery Engine Room Applied Verification Updates