GovAI paper: Frontier AI labs should host continuous embedded third-party assessments
StephenLCasper · x · 2026-09-23
GovAI published Embedded Assessments for Frontier AI by Jacob Charnock, Stephen Casper, Anka Reuel and five co-authors, arguing that frontier AI developers should now host embedded assessments giving independent evaluators employee-like access to internal systems, staff and documentation — not just pre-deployment API testing.
Key points
- Frontier AI risks depend heavily on how developers use and govern models internally; embedded assessments enable deeper scrutiny under stronger security controls.
- The paper examines seven design questions: scope, information gathering, duration, timing, terms of engagement, disclosure, and escalation.
- Recommendations: assessments should be continuous, evaluators should publish detailed reports at least quarterly, and clear escalation mechanisms should be established — focusing on internal agent monitoring, internal agent security controls/permissions, and model alignment.
The work builds on Anthropic CEO Dario Amodei's advocacy of "embedded evaluators." HKS's Stephen Casper welcomed the momentum but cautioned the field to watch for signs of regulatory capture, pointing to this paper for a deeper academic take.
Related event: GovAI paper calls for embedded internal evaluations of frontier AI(2 posts)→
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