R0044/2026-03-29/Q004/H1¶
Statement¶
CaTE's published work examines both how AI systems should behave to enable calibrated trust AND how humans should calibrate their trust — addressing both system-side and human-side behavior.
Status¶
Current: Eliminated
No evidence was found that CaTE addresses AI system output behavior — the phenomenon of AI adjusting its responses to match user expectations (sycophancy) or actively counteracting over-trust. CaTE's focus is on system properties (reliability, transparency) and human trust measurement.
Supporting Evidence¶
No evidence supports H1 as stated.
Contradicting Evidence¶
| Evidence | Summary |
|---|---|
| SRC01-E01 | CaTE Guidebook focuses on trust measurement and evaluation, not on AI output behavior |
| SRC02-E01 | CMU/SEI descriptions emphasize human understanding of AI capabilities, not AI self-adjustment |
Reasoning¶
H1 is eliminated because CaTE's published work and organizational descriptions consistently frame the problem from the human perspective: "The human has to understand the capabilities and limitations of the AI system to use it responsibly" (Kimberly Sablon, OUSD(R&E)). No source describes CaTE work on AI systems adjusting their own output.
Relationship to Other Hypotheses¶
H1's elimination narrows the choice to H2 or H3 — both of which describe human-focused or design-focused approaches without system output behavior.