R0043/2026-04-01/Q002/H3¶
Statement¶
Regulatory coverage exists but addresses the phenomenon indirectly through broader requirements (accuracy, human oversight, independent validation), creating a gap where the specific model behavior of sycophancy is not named or directly targeted.
Status¶
Current: Supported
Supporting Evidence¶
| Evidence | Summary |
|---|---|
| SRC01-E01 | EU AI Act addresses "automation bias" — a human cognition concept — not the model behavior that induces it |
| SRC02-E01 | NIST AI 600-1 addresses "confabulation" and "information integrity" — output quality, not agreement-seeking behavior |
| SRC03-E01 | SR 11-7 "effective challenge" addresses governance mechanism, not model behavior |
| SRC04-E01 | FDA requires human factors evaluation but does not name sycophancy or related model behaviors |
| SRC05-E01 | IEEE 3119 procurement standard addresses AI-specific requirements but without sycophancy-specific provisions |
| SRC06-E01 | No explicit sycophancy regulation identified; industry self-regulation is the current approach |
Contradicting Evidence¶
| Evidence | Summary |
|---|---|
| None | No evidence contradicts the finding of indirect-but-incomplete coverage |
Reasoning¶
This hypothesis best fits the evidence. Every regulated industry examined has some mechanism that partially addresses the sycophancy problem, but none names the model behavior directly. The coverage gap is precisely at the intersection: regulators address human responses to AI (automation bias, overreliance) and output quality (confabulation, accuracy), but not the model tendency to prioritize agreement over accuracy.
Relationship to Other Hypotheses¶
H3 subsumes H1 (requirements exist) and H2 (gap exists) by showing both are true simultaneously. The requirements exist but address adjacent problems, leaving the specific model behavior unregulated.