There is, as yet, no generalized standard that clarifies the levels of trust that can be exercised for validating AI generated information including small organization or individual research. Although, developing a suggested standard would involve an international committee or other effort, I think the following is a good basis for discussion.
AI Source Reliability Scale and Conflict Audit Framework
Grade 1Verified Primary
Grade 2
High-Confidence AI
- Human researcher has compared the AI transcription word-for-word against the original image. Zero discrepancies found.
- Word-for-word human audit (comparing AI transcription against original image).
- Zero (Human verified)
Meets the Genealogical Proof Standard (GPS) for accuracy; preferred for final evidence.
High-Confidence AI
- AI confidence score >95%. Document is a clear, printed text (e.g., modern book). Facts align with known historical timelines.
- Verification of metadata and spot-checking alignment with historical timelines.
- Low (High confidence scores and printed format)
High evidential weight but requires citation of AI involvement.
Grade 3
Probable Draft
Grade 4
Unverified Lead
Grade 5
Suspected Fiction
Grade 3
Probable Draft
- AI-transcribed cursive or archaic script. Readable but contains "low-confidence" markers or [?] symbols.
- Full human review required; manual audit if surnames or dates are missed.
- Moderate (Risk of misread archaic script)
Grade 4
Unverified Lead
- Summary or extraction provided by AI without a direct link to a specific line in the image.
- Finding direct links to specific lines in images; manual disentanglement of FAN (Friends, Acquaintances, Neighbors) club.
- High (Risk of name-merging or date-shifting)
Grade 5
Suspected Fiction
- AI-generated "fact" that contradicts established records or lacks a verifiable citation (Hallucination).
- Re-verification of physical files; do not enter data into tree.
- Extreme (Hallucination/Fabrication)
In this case, the levels of trust are set out in a descending manner. Genealogical organizations might be relied upon to provide such guidance. I am open to discussion.
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