Reducing Catastrophic Risk from AI with Systematic Monitoring and Evaluation of Rogue AI Progression
The governance side (2609.03189, "Reducing Catastrophic Risk from AI"). A national-security-flavored inter-lab group (Sandia, ORNL, RAND-adjacent, universities) proposes a structured framework of behavioral indicators for progression toward catastrophic threats - metrics, indicators, and thresholds across multiple dimensions of capability and behavior, cybersecurity-style - so researchers and policymakers can run evidence-based monitoring protocols instead of vibes.
What the source reports
The governance side (2609.03189, "Reducing Catastrophic Risk from AI"). A national-security-flavored inter-lab group (Sandia, ORNL, RAND-adjacent, universities) proposes a structured framework of behavioral indicators for progression toward catastrophic threats - metrics, indicators, and thresholds across multiple dimensions of capability and behavior, cybersecurity-style - so researchers and policymakers can run evidence-based monitoring protocols instead of vibes. The framework treats "rate the AI's trajectory" as an instrumentation problem with defined thresholds.
Original source
- Title
- Reducing Catastrophic Risk from AI with Systematic Monitoring and Evaluation of Rogue AI Progression
- Author
- Bauer, Kegelmeyer, Begoli, Sadovnik, Emerson, Corley, Generous, Moore, Bartoldson, Goldhan, Goldman, Greaves, Vermeer, MacLennan, Schulker
- Publication
- arXiv