GovAI paper argues frontier AI evals should be embedded inside labs, not just API tests
HaydnBelfield · x · 2026-09-22
GovAI has released a paper, Embedded Assessments for Frontier AI, led by Jacob Charnock with co-authors including Markus Anderljung and Stephen Casper.
- Third-party evals today mostly test models via APIs pre-deployment, missing risks tied to how developers build and use AI internally.
- The authors propose "embedded assessments": independent evaluators get employee-like access to a lab's internal systems, staff, and documentation under stronger security controls.
- The paper examines seven design questions: scope, information gathering, duration, timing, terms of engagement, disclosure, and escalation.
- Recommendations: labs should start hosting embedded assessments now, covering at least internal agent monitoring, agent security controls/permissions, and model alignment — with continuous assessments, quarterly detailed public reports, and clear escalation mechanisms.
Related event: GovAI paper calls for embedded internal evaluations of frontier AI(2 posts)→
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