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New Framework Predicts Loss of Control in Frontier AI Systems

Researchers introduce a behavioural framework that decomposes loss-of-control risk into misaligned motive, harm-enabling capability, and monitoring evasion, operationalized via 13 aspects and 29 evaluation tasks. Across 13 frontier models, the resulting LoC score correlates strongly (r=0.84) with failure rates in contained long-horizon scenarios. The framework also guides targeted mitigations that reduce failure rates while preserving general performance.