R0044/2026-03-29/Q003/SRC01/E01¶
CSET's "AI Safety and Automation Bias" paper explicitly combines both vocabulary sets in its title, published by a national security-focused research center.
URL: https://cset.georgetown.edu/publication/ai-safety-and-automation-bias/
Extract¶
The paper is titled "AI Safety and Automation Bias: The Downside of" (title appears truncated in some listings). Published November 20, 2024 by Georgetown CSET. Authors: Lauren Kahn, Emelia S. Probasco, Ronnie Kinoshita.
JUDGMENT: The title alone confirms that at least one policy research group has recognized the connection between AI safety concerns and automation bias concerns. However, the full text could not be extracted (PDF encoding issues), so the depth and nature of the bridging cannot be verified. The subtitled "The Downside of" suggests the paper examines negative consequences, not just conceptual mapping.
The publication by CSET — a center focused on security and emerging technology — places it at the intersection of defense/national security and AI safety, exactly where the query asks whether bridging exists.
Relevance to Hypotheses¶
| Hypothesis | Relationship | Strength |
|---|---|---|
| H1 | Supports | The paper's existence demonstrates that someone is explicitly working across both vocabularies |
| H2 | Contradicts | At minimum, one paper bridges the vocabularies |
| H3 | Supports | Without full text, the depth of bridging is unclear — it may treat them as related topics rather than mapping them as descriptions of the same phenomenon |
Context¶
CSET occupies a unique institutional position — it bridges AI technical research and national security policy. This makes it a natural home for vocabulary-bridging work.
Notes¶
The PDF could not be extracted due to encoding issues. This is a significant gap — this source may contain the systematic vocabulary mapping the query seeks, but verification is not possible in this research run.