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R0044/2026-04-01/Q001/H1

Research R0044 — Expanded Vocabulary Research
Run 2026-04-01
Query Q001
Hypothesis H1

Statement

Regulated industries have produced specific, enforceable requirements that constrain AI system behavior itself — not just human operator behavior — to prevent systems from reinforcing user assumptions or providing agreeable-but-incorrect output.

Status

Current: Eliminated

Supporting Evidence

Evidence Summary
SRC02-E01 EU AI Act Article 14 requires systems be designed to enable awareness of automation bias
SRC03-E01 NIST AI 600-1 identifies confabulation and human-AI configuration as risks requiring mitigation

Contradicting Evidence

Evidence Summary
SRC04-E01 FDA CDS guidance focuses on human-side independent review, not system-side output constraints
SRC05-E01 FINRA guidance addresses supervisory procedures, not AI output behavior
SRC06-E01 FAA roadmap addresses certification and testing, not output behavioral constraints

Reasoning

While fragments of system-side requirements exist (EU AI Act's design requirements, NIST's risk identification), none constitute specific, enforceable requirements that directly constrain how an AI system generates output to prevent sycophantic or assumption-reinforcing behavior. The existing requirements are either aspirational (NIST), focused on transparency rather than output behavior (EU AI Act), or entirely human-side (FDA, FINRA, FAA).

Relationship to Other Hypotheses

H1 represents the strongest version of the claim — that mature, enforceable system-side requirements exist. The evidence does not support this. H2 (partial/emerging requirements) is better supported, while H3 (no requirements at all) is too strong given the EU AI Act and NIST provisions.