R0044/2026-04-01/Q001 — Query Definition¶
Query as Received¶
Using the expanded vocabulary (automation bias, automation complacency, overtrust, overreliance, acquiescence problem, calibrated trust, confirmation bias amplification, alert fatigue, commission error, inappropriate trust), search for enterprise or government requirements, deployment standards, or procurement specifications that constrain AI system behavior — not just human operator behavior — to prevent the system from reinforcing user assumptions or providing agreeable-but-incorrect output. Focus on defense, healthcare, aviation, and financial services.
Query as Clarified¶
This query asks whether any regulated industry has produced requirements that constrain the AI system itself (how it presents output, whether it must challenge user assumptions, whether it must express uncertainty) rather than merely constraining human operators (training them to be skeptical, requiring human-in-the-loop oversight). The key distinction is system-side vs. human-side requirements. The expanded vocabulary terms are search aids to find requirements that may not use the AI-safety term "sycophancy" but address the same phenomenon under domain-specific names.
Embedded assumption surfaced: The query assumes such requirements exist. They may not — the absence of system-side requirements would itself be a significant finding.
BLUF¶
Regulated industries have extensively addressed human-side behavior (training operators, requiring oversight) but have produced almost no requirements constraining AI system-side behavior to prevent reinforcing user assumptions. The closest approaches are NIST AI 600-1's identification of confabulation and human-AI configuration risks, and the EU AI Act Article 14's requirement that systems be designed to enable awareness of automation bias — but even these focus on transparency and interface design rather than constraining the AI's output behavior directly.
Scope¶
- Domain: AI governance, regulatory standards, procurement specifications across defense, healthcare, aviation, and financial services
- Timeframe: Current as of April 2026
- Testability: Verifiable by examining published standards, regulations, and procurement specifications for system-side behavioral constraints
Assessment Summary¶
Probability: N/A (open-ended query)
Confidence: Medium
Hypothesis outcome: H2 (partial/emerging requirements) is best supported — system-side requirements exist in nascent form but remain far less developed than human-side requirements.
[Full assessment in assessment.md.]
Status¶
| Field | Value |
|---|---|
| Date created | 2026-04-01 |
| Date completed | 2026-04-01 |
| Researcher profile | Not provided |
| Prompt version | Unified Research Methodology v1 |
| Revisit by | 2026-10-01 |
| Revisit trigger | Publication of EU AI Act implementing regulations for Article 14; NIST AI RMF updates; new FDA CDS guidance iterations |