R0042/2026-04-01/Q003/SRC03

Research	R0042 — Private AI Motivations
Run	2026-04-01
Query	Q003
Search	S03
Result	S03-R03
Source	SRC03

Georgetown Law Tech Institute analysis on AI sycophancy risk reduction

Source

Field	Value
Title	What Would It Take for AI Companies to Reduce AI Sycophancy Risks?
Publisher	Georgetown Law Tech Institute
Author(s)	Georgetown Law Tech Institute
Date	2025
URL	https://www.law.georgetown.edu/tech-institute/insights/reduce-ai-sycophancy-risks/
Type	Policy analysis

Summary

Dimension	Rating
Reliability	Medium-High
Relevance	Medium
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	Georgetown Law is a respected policy institution with academic rigor
Relevance	Frames anti-sycophancy as vendor obligation, not enterprise deployment decision — useful for understanding why enterprises do not see this as their problem
Bias flags	Low COI; academic institution with no commercial stake in AI deployment decisions

Evidence Extracts

Evidence ID	Summary
SRC03-E01	Policy framework treating anti-sycophancy as AI vendor responsibility, not enterprise deployment decision