R0048/2026-04-01/Q002/SRC01

Research	R0048 — Corporate AI Training
Run	2026-04-01
Query	Q002
Search	S01
Result	S01-R01
Source	SRC01

Georgetown Tech Institute — Reducing AI Sycophancy Risks

Source

Field	Value
Title	What Would It Take for AI Companies to Reduce AI Sycophancy Risks?
Publisher	Georgetown Law Center for Technology
Author(s)	Georgetown Tech Institute
Date	2025-2026
URL	https://www.law.georgetown.edu/tech-institute/insights/reduce-ai-sycophancy-risks/
Type	Policy analysis

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	Georgetown Law is a highly credible academic institution. The Tech Institute produces peer-reviewed policy analysis.
Relevance	Directly relevant — analyzes sycophancy as a policy problem and what interventions would be needed. Implicitly confirms sycophancy is not yet addressed in training.
Bias flags	Low risk across all domains. Academic institution with no commercial interest in the outcome.

Evidence Extracts

Evidence ID	Summary
SRC01-E01	Policy analysis frames sycophancy as unaddressed risk requiring product-level changes, accountability, audits, and disclosures