R0044/2026-03-29/Q004/SRC03
Sandia TCMM: "The Trust Calibration Maturity Model" (2025)
Source
| Field |
Value |
| Title |
The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems |
| Publisher |
Sandia National Laboratories (arXiv preprint) |
| Author(s) |
Sandia researchers |
| Date |
March 2025 |
| URL |
https://arxiv.org/abs/2503.15511 |
| Type |
Research paper (preprint, government lab) |
Summary
| Dimension |
Rating |
| Reliability |
Medium-High |
| Relevance |
Medium |
| Bias: Missing data |
Low risk |
| Bias: Measurement |
N/A |
| Bias: Selective reporting |
Low risk |
| Bias: Randomization |
N/A — not an RCT |
| Bias: Protocol deviation |
N/A — not an RCT |
| Bias: COI/Funding |
Low risk |
Rationale
| Dimension |
Rationale |
| Reliability |
From Sandia National Laboratories, a respected DoE/DoD research lab. Preprint but from established researchers. |
| Relevance |
Related to CaTE's problem space (trust calibration) but from a different institution. Confirms the broader field's human-side focus. |
| Bias flags |
Low risk. Government lab research. |
| Evidence ID |
Summary |
| SRC03-E01 |
TCMM focuses on communicating AI trustworthiness to users, not constraining AI output behavior |