R0044/2026-04-01/Q004/SRC02

Research	R0044 — Expanded Vocabulary Research
Run	2026-04-01
Query	Q004
Search	S01
Result	S01-R01
Source	SRC02

SEI 2023 Year in Review — Assuring Trustworthiness of AI for Warfighters

Source

Field	Value
Title	Assuring Trustworthiness of AI for Warfighters
Publisher	Software Engineering Institute, Carnegie Mellon University
Author(s)	SEI
Date	2023
URL	https://www.sei.cmu.edu/annual-reviews/2023-year-in-review/assuring-trustworthiness-of-ai-for-warfighters/
Type	Institutional annual review

Summary

Dimension	Rating
Reliability	High
Relevance	Medium-High
Bias: Missing data	Low risk
Bias: Measurement	N/A
Bias: Selective reporting	Some concerns
Bias: Randomization	N/A — not an RCT
Bias: Protocol deviation	N/A — not an RCT
Bias: COI/Funding	Low risk

Rationale

Dimension	Rationale
Reliability	SEI is CaTE's institutional home. Authoritative source on CaTE's mission and activities.
Relevance	Describes CaTE's scope and early activities. However, as an annual review, it may emphasize achievements over limitations.
Bias flags	Selective reporting concern: institutional annual reviews tend to be promotional.

Evidence Extracts

Evidence ID	Summary
SRC02-E01	CaTE's stated dual scope: evaluating operator trust + assuring system trustworthiness