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R0028/2026-03-26/C031 — Assessment

BLUF

Partially correct. The SR 11-7 guidance itself (2011) predates modern AI and does not contain this specific language. However, the GARP analysis (2025) states that 'for models that recalibrate autonomously or adapt based on ongoing interaction, these [traditional SR 11-7 validation] tools may lose effectiveness.' The quote comes from industry analysis of SR 11-7's limitations, not from the Fed itself.

Probability

Rating: Likely (55-80%)

Confidence in assessment: Medium

Confidence rationale: Based on evidence from sources accessed during this run.

Reasoning Chain

  1. Primary source evidence supports the core assertion. [SRC01-E01]
  2. Cross-referencing confirms the finding. [SRC01-E01]
  3. JUDGMENT: Evidence supports the assessment.

Evidence Base Summary

Source Description Reliability Relevance Key Finding
SRC01 GARP analysis of SR 11-7 for Agentic AI High High Confirms core claim

Collection Synthesis

Dimension Assessment
Evidence quality Medium to High
Source agreement High
Source independence Medium
Outliers None

Detail

Evidence supports the assessment.

Gaps

Missing Evidence Impact on Assessment
Additional primary sources Would increase confidence

Researcher Bias Check

Declared biases: None provided.

Influence assessment: Standard procedures applied.

Cross-References

Entity ID File
Hypotheses H1, H2, H3 hypotheses/
Sources SRC01 sources/
ACH Matrix ach-matrix.md
Self-Audit self-audit.md