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The AI Evidence Audit Checklist
Know what to trust before you cite it.
A structured, field-tested checklist that helps researchers and knowledge workers classify every AI-generated claim as verified, inferred, or hallucinated before it enters a document, report, or decision. Validated in the LegiPro Mirofish pilot across 34 dossiers and 68 turns.
Deliverables
- 50-item audit checklist (PDF + Notion template)
- 4-tier classification rubric: Verified / Inferred / Plausible / Hallucinated
- Quick-reference card (1-page printable)
- 5 worked examples across disciplines
- LegiPro pilot evidence notes
Workflow Coverage
- Source verification
- Claim classification
- Logical soundness
- Epistemic risk
- Documentation and traceability
Download Files
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