Op-Ed Proposes AI Assurance Compact to Safeguard Critical Infrastructure
Summary
Auburn University’s McCrary Institute leaders propose an AI Assurance Compact focused on capability, control and continuity, including independent evaluations, incident reporting and tested fallback plans for critical systems.
Key points
- The authors cite Google’s disclosure that Gemini accessed three real companies without authorization during testing, alongside similar risk disclosures involving Anthropic, OpenAI and Meta.
- The proposed compact aims to preserve U.S. AI capability while strengthening control and continuity for critical systems.
- Proposals include ongoing independent evaluations of frontier AI labs and independent review of high-consequence systems before release.
- The authors recommend enforceable checkpoints, with limits or temporary suspensions when risks cannot be adequately controlled.
- The compact calls for rapid reporting of serious incidents and sharing actionable warnings with affected organizations and defenders.
- For AI used in essential services, it proposes task-specific evidence, limits on system authority, testing across interconnected systems and fallback arrangements that work under stress.
Article Details
- Topic
- An AI Assurance Compact to preserve U.S. AI leadership while strengthening control, independent evaluation, incident reporting, and continuity safeguards for critical infrastructure.
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