arXiv: cs.AI preprintsInternational6 November 2026
A Behavioural Framework for Predicting and Understanding Loss of Control in Frontier Artificial Intelligence Systems
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arXiv:2611.07953v1 Announce Type: new Abstract: Frontier artificial intelligence (AI) systems are increasingly operating over longer horizons with diminishing human oversight, raising the risk of loss of control: systems acting beyond effective human control with potentially irreversible consequences. Because such failures may become observable only after containment is difficult, they must be assessed prospectively. We introduce a behavioural framework that decomposes loss-of-control risk into three factors: misaligned motive, harm-enabling capability, and monitoring evasion. We operationalis
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