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Readiness of AI agents as iterative auditors for verification

Ascertain when and under what conditions AI agents will have the capabilities and reliability required to serve as iterative auditors for confidentiality-preserving verification of large-scale AI development and deployment, including the logistical and cybersecurity prerequisites for safe deployment.

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Background

The report discusses three modes for running technical tests: hard‑coded tests, human auditors, and AI auditors. AI auditors could iteratively design tests based on intermediate findings while benefiting from memory wiping for confidentiality.

However, the practical readiness of AI auditors—the maturity, reliability, and secure deployment conditions required for high-stakes verification—remains uncertain.

References

However, it is unclear when AI agents will have the needed capabilities and reliability, and deployment poses logistical and cybersecurity challenges.

— Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment (2507.15916 - Baker et al., 21 Jul 2025) in Section 4.5 (Implementation Options Across Mechanisms)