R0028/2026-03-26/C031¶
Claim: The Federal Reserve's SR 11-7 guidance acknowledges it "may lose effectiveness" for adaptive AI models.
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: Likely (55-80%) | Confidence: Medium
Correction needed: The 'may lose effectiveness' language comes from GARP's 2025 analysis of SR 11-7 in the context of agentic AI, not from the Federal Reserve's original SR 11-7 guidance document. The guidance predates modern AI.
Summary¶
| Entity | Description |
|---|---|
| Claim Definition | Claim text, scope, status |
| Assessment | Full analytical product with reasoning chain |
| ACH Matrix | Evidence x hypotheses diagnosticity analysis |
| Self-Audit | ROBIS-adapted 4-domain process audit |
Hypotheses¶
| ID | Hypothesis | Status |
|---|---|---|
| H1 | Claim is accurate — SR 11-7 acknowledges this limitation | Inconclusive |
| H2 | The limitation is real but documented in industry analysis, not in SR 11-7 itself | Supported |
| H3 | Claim is materially wrong | Eliminated |
Searches¶
| ID | Target | Results | Selected |
|---|---|---|---|
| S01 | Primary search | 10 | 3 |
Sources¶
| Source | Description | Reliability | Relevance |
|---|---|---|---|
| SRC01 | GARP analysis of SR 11-7 for Agentic AI | High | High |