R0055/2026-04-01/C027/SRC01

Research	R0055 — RLHF Yes-Men Claims
Run	2026-04-01
Claim	C027
Search	S01
Result	S01-R01
Source	SRC01

Georgetown Law Tech Institute

Source

Field	Value
Title	What Would It Take for AI Companies to Reduce AI Sycophancy Risks?
Publisher	Various
Author(s)	Various
Date	2024-2026
URL	https://www.law.georgetown.edu/tech-institute/insights/reduce-ai-sycophancy-risks/
Type	Policy brief

Summary

Dimension	Rating
Reliability	High
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	High — Policy brief from established source
Relevance	High — directly addresses the claim
Bias flags	No significant bias concerns identified

Evidence Extracts

Evidence ID	Summary
SRC01-E01	Georgetown: anti-sycophancy strategies 'may run contrary to a firm's monetization model'