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R0028/2026-03-26/C031 — Claim Definition

Claim as Received

The Federal Reserve's SR 11-7 guidance acknowledges it "may lose effectiveness" for adaptive AI models.

Claim as Clarified

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.

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.

Scope

  • Domain: Prompt engineering and related fields
  • Timeframe: As of 2026-03-26
  • Testability: Verifiable through primary sources

Assessment Summary

Probability: Likely (55-80%)

Confidence: Medium

Hypothesis outcome: See assessment.md.

[Full assessment in assessment.md.]

Status

Field Value
Date created 2026-03-26
Date completed 2026-03-26
Researcher profile None provided
Prompt version Unified Research Standard v1.0-draft
Revisit by 2027-03-26
Revisit trigger New evidence or source changes