R0042/2026-04-01/Q003/SRC01

Research	R0042 — Private AI Motivations
Run	2026-04-01
Query	Q003
Search	S03
Result	S03-R01
Source	SRC01

Anthropic blog post on user wellbeing protection and anti-sycophancy design

Source

Field	Value
Title	Protecting the wellbeing of our users
Publisher	Anthropic
Author(s)	Anthropic
Date	2025
URL	https://www.anthropic.com/news/protecting-well-being-of-users
Type	Vendor safety communication

Summary

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

Rationale

Dimension	Rationale
Reliability	Primary source from the organization doing the work; Anthropic has published extensively on this topic with specific metrics
Relevance	The most documented example of anti-sycophancy as an explicit design goal — but as a model developer, not an enterprise deployer
Bias flags	Self-reported metrics; Anthropic has commercial interest in positioning Claude as less sycophantic than competitors. Some concerns about selective metric reporting (Georgetown Law raises this point). However, the Petri tool is open-source, enabling independent verification.

Evidence Extracts

Evidence ID	Summary
SRC01-E01	Anthropic anti-sycophancy program: evaluation methodology, metrics, design trade-offs