C013¶


Research	R0056 — RLHF Yes-Men Claims v2
Run	2026-04-01
Claim	C013

Claim: A search of 29 sources across corporate training providers, consulting firms (Deloitte, KPMG), government agencies (GSA, DoD, NHS, UK Government Digital Service), regulatory frameworks (EU AI Act, NIST AI RMF), law firm policy templates, and UX research organizations found zero warnings about sycophancy under any terminology.

BLUF: Cannot be independently verified to the claimed specificity (29 sources). However, the general finding is consistent with evidence: enterprise training materials focus on AI capabilities, not behavioral risks like sycophancy. No contradicting evidence was found.

Probability: Likely (55-80%) | Confidence: Medium

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 5-domain audit

Hypotheses¶

ID	Hypothesis	Status
H1	Claim is accurate as stated	Inconclusive
H2	Claim is partially correct	Supported
H3	Claim is materially wrong	Eliminated

Searches¶

ID	Target	Results	Selected
S01	Evidence for claim	10	2

Sources¶

Source	Description	Reliability	Relevance
SRC01	Primary source	Medium-High	High

Revisit Triggers¶

New evidence or corrections to cited sources