AI Verification Controls
Short Explanation
AI Verification Controls are the AI-assisted review control layer, applied before AI-assisted content enters finalized records. The human reviewer compares generated wording against the original notes, identifies characterizations that are not present in those notes, and completes attestation. The reference makes this a defined maturity level, AI Verification, in which AI-assisted content is reviewed against original notes and attested before entry, and it is required for CRITICAL-tier records such as AI-assisted investigation summaries. The control targets the named failure modes directly: amplified sentiment, smoothed conflicts, compressed omissions, and inflated confidence. It operates at the human edit and approval step, the last point at which generated wording can be checked against the source before it becomes part of the permanent record. Attestation that this comparison occurred is documented and on file before submission.
Why It Matters
AI-assisted content enters the file at the moment a human approves it. That approval is both the highest-risk point, because generated text looks finished, and the highest-leverage point, because a defined comparison against the notes catches the predictable failure modes before they are committed.
Reviewer Questions
- Was the generated wording compared against the original notes before entry?
- Were characterizations not present in the notes identified and resolved?
- Is attestation that the comparison occurred documented and on file?
- For CRITICAL-tier AI-assisted records, was the control layer applied without exception?
Common Failure Pattern
Related JRS Sections
Move from this concept to the full reference, then to the calibration and pilot environment where the conditions are applied to records.