R0044/2026-04-01/Q003/SRC02

Research	R0044 — Expanded Vocabulary Research
Run	2026-04-01
Query	Q003
Search	S01
Result	S01-R01
Source	SRC02

CSET Georgetown — AI Safety and Automation Bias (cross-referenced from Q001)

Source

Field	Value
Title	AI Safety and Automation Bias: The Downside of
Publisher	CSET, Georgetown University
Author(s)	Lauren Kahn, Emelia S. Probasco, Ronnie Kinoshita
Date	November 2024
URL	https://cset.georgetown.edu/publication/ai-safety-and-automation-bias/
Type	Policy research / Issue brief

Summary

Dimension	Rating
Reliability	High
Relevance	Medium-High
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	CSET is a respected nonpartisan policy center. Same source scored in Q001.
Relevance	The title itself — "AI Safety and Automation Bias" — bridges the two vocabulary domains. However, the bridge is in the title framing, not in explicit vocabulary mapping.
Bias flags	None significant.

Evidence Extracts

Evidence ID	Summary
SRC02-E01	CSET title bridges "AI safety" and "automation bias" but does not provide explicit vocabulary mapping