R0041/2026-04-01/Q002/SRC03

Research	R0041 — Enterprise Sycophancy
Run	2026-04-01
Query	Q002
Search	S04
Result	S04-R02
Source	SRC03

Georgetown Law Institute for Technology Law and Policy sycophancy analysis

Source

Field	Value
Title	AI Sycophancy: Impacts, Harms & Questions
Publisher	Georgetown Law Institute for Technology Law & Policy
Author(s)	Georgetown Law tech institute
Date	2025-08-11
URL	https://www.law.georgetown.edu/tech-institute/research-insights/insights/ai-sycophancy-impacts-harms-questions/
Type	Policy analysis

Summary

Dimension	Rating
Reliability	High
Relevance	High
Bias: Missing data	Low risk
Bias: Measurement	N/A
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	Georgetown Law is a leading institution for technology policy research
Relevance	Directly catalogs harms from AI sycophancy across multiple domains
Bias flags	Academic institution with no apparent commercial conflicts

Evidence Extracts

Evidence ID	Summary
SRC03-E01	Georgetown identifies 11 categories of sycophancy harm across healthcare, finance, and personal domains