R0044/2026-04-01/Q002/H3¶
Statement¶
No empirical evidence exists documenting measurable harm from AI systems agreeing with users in professional contexts. The concern is theoretical.
Status¶
Current: Eliminated
Supporting Evidence¶
| Evidence | Summary |
|---|---|
| None | No evidence supports this hypothesis |
Contradicting Evidence¶
| Evidence | Summary |
|---|---|
| SRC01-E01 | Peer-reviewed Science paper with 1,604 participants demonstrating measurable behavioral harm |
| SRC04-E01 | Nature Communications study documenting false confirmation errors in clinical AI |
| SRC05-E01 | Experimental study measuring automation bias in military scenarios with 9,000 respondents |
Reasoning¶
Multiple peer-reviewed empirical studies exist documenting measurable effects. H3 is definitively eliminated.
Relationship to Other Hypotheses¶
Both H1 and H2 are better supported. The question is whether the evidence is "extensive field-level" (H1) or "primarily experimental" (H2).