R0057/2026-04-01/C017/SRC01

Research	R0057 — RLHF Yes-Men Claims v3
Run	2026-04-01
Claim	C017
Search	S01
Result	S01-R01
Source	SRC01

Enterprise AI vendor product landscape search

Source

Field	Value
Title	Enterprise anti-sycophancy products API parameters behavioral tiers
Publisher	Various
Author(s)	Various
Date	2024-2026
URL	https://www.law.georgetown.edu/tech-institute/insights/reduce-ai-sycophancy-risks/
Type	Product landscape analysis

Summary

Dimension	Rating
Reliability	Medium
Relevance	High
Bias: Missing data	Low risk
Bias: Measurement	Low risk
Bias: Selective reporting	Low risk
Bias: Randomization	N/A — not an RCT
Bias: Protocol deviation	N/A — not an RCT
Bias: COI/Funding	Low risk

Rationale

Dimension	Rationale
Reliability	Product landscape analysis from established institution/publication
Relevance	Directly addresses the claim under investigation
Bias flags	No significant bias concerns identified

Evidence Extracts

Evidence ID	Summary
SRC01-E01	No vendor offers dedicated anti-sycophancy enterprise products or API parameters