R0055/2026-04-01/C025 — Claim Definition¶
Claim as Received¶
The DoD's CaTE center (Calibrated AI Trust and Expectations) at SEI/Carnegie Mellon has published frameworks for measuring trust in AI systems
Claim as Clarified¶
The DoD's CaTE center (Calibrated AI Trust and Expectations) at SEI/Carnegie Mellon has published frameworks for measuring trust in AI systems
BLUF¶
Partially correct with name error. The center is the Center for Calibrated Trust Measurement and Evaluation (CaTE), not 'Calibrated AI Trust and Expectations.' It is at SEI/Carnegie Mellon, launched in 2023 with DoD/OUSD(R&E). It has published a guidebook for TEVV of LAWS (lethal autonomous weapons systems) focused on trust measurement.
Scope¶
- Domain: AI alignment, sycophancy, enterprise AI
- Timeframe: 2022-2026
- Testability: Verifiable against published research and documentation
Assessment Summary¶
Probability: Likely (55-80%)
Confidence: High
Hypothesis outcome: H2 prevails — see assessment for details.
[Full assessment in assessment.md.]
Status¶
| Field | Value |
|---|---|
| Date created | 2026-04-01 |
| Date completed | 2026-04-01 |
| Researcher profile | Phillip Moore |
| Prompt version | Unified Research Methodology v1 |
| Revisit by | 2026-10-01 |
| Revisit trigger | CaTE expanding scope to address AI output behavior or sycophancy specifically |