Q002 — Query Definition¶


Research	R0041 — Enterprise Sycophancy
Run	2026-03-28
Query	Q002

Query as Received¶

Are there examples of enterprise or government AI deployments where sycophancy reduction was a stated requirement or design goal? Look at defense, aviation, healthcare, financial services, and critical infrastructure contexts where agreeable-but-wrong answers are dangerous.

Query as Clarified¶

Subject: Enterprise and government AI deployments across defense, aviation, healthcare, financial services, and critical infrastructure
Scope: Deployments where sycophancy reduction was an explicit requirement, design goal, or evaluation criterion — not just where accuracy was generally valued
Evidence basis: Government procurement requirements, deployment documentation, regulatory guidance, sector-specific AI safety standards, academic analysis of deployment risks
Temporal sensitivity: Current state as of March 2026, with historical examples where available
Key distinction: The query asks for "sycophancy reduction" as a stated requirement, not merely contexts where accuracy matters. This is a high bar — the word "sycophancy" or its functional equivalent must appear in requirements.

Ambiguities Identified¶

"Stated requirement" is ambiguous — it could mean a formal procurement specification, a design document mention, a regulatory requirement, or a public statement. The research treats all as relevant but notes the distinction.
"Sycophancy reduction" may not be the term used in these domains. Equivalent concepts include "over-reliance on agreeability," "confirmation bias in AI," "accuracy over helpfulness," and "AI-induced complacency."
The query assumes that sectors with dangerous agreeable-but-wrong answers would naturally require sycophancy reduction. This assumption may not hold if the sectors frame the problem differently.

Sub-Questions¶

Have any defense/military AI deployments included sycophancy-specific requirements or evaluation criteria?
Have aviation regulators (FAA, EASA) addressed AI agreeability or sycophancy in certification requirements?
Have healthcare regulators or institutions specified anti-sycophancy requirements for clinical AI?
Have financial regulators (SEC, FINRA) addressed AI sycophancy in compliance guidance?
Has critical infrastructure AI guidance addressed sycophancy or equivalent concepts?

Hypotheses¶

ID	Hypothesis	Description
H1	Yes, sycophancy reduction is a stated requirement in some deployments	At least some enterprise or government AI deployments have explicitly required sycophancy reduction as a design goal
H2	No, sycophancy is not explicitly addressed in any deployment requirements	No enterprise or government deployment has used "sycophancy" or equivalent concepts as a formal requirement
H3	The concern exists but is framed differently	Sectors address the underlying problem (accuracy over agreeability, AI-induced complacency) without using the term "sycophancy" or making it a discrete requirement