Reliability Theory for AI Control

arXiv:2609.26419 · cs.AI, math.OC · Submitted 2026-09-22 · Read on arXiv

cs.AI, math.OC

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: 14 pages

Code: https://github.com/koo-ec/HIP_HOPS_LLM

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Redundancy — 7× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Agentic Workflows — 1× in this paper · explained in 1 episode
• Resource Constraints — 1× in this paper · explained in 3 episodes

Sources

• Ctrl-Z: Controlling AI Agents via Resampling
• Assurance of AI Systems From a Dependability Perspective
• Attack Selection in Agentic AI Control Evaluations Meaningfully Decreases Safety
• Ensemble Monitoring for AI Control: Diverse Signals Outweigh More Compute
• Evaluating Control Protocols for Untrusted AI Agents
• Retrying vs Resampling in AI Control
• GDM AI Control Roadmap
• N-Version Programming with Coding Agents
• Factor(T,U): Factored Cognition Strengthens Monitoring of Untrusted AI
• Adapting Probabilistic Risk Assessment for AI

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