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Strengthening Emergency Preparedness and Response for AI Loss of Control Incidents
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A RAND Corporation report examining emergency preparedness frameworks for AI loss-of-control scenarios, where advanced AI systems evade human oversight with potentially catastrophic consequences — directly relevant to AI safety governance and incident response planning.
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Importance: 72/100organizational reportanalysis
Summary
This RAND report analyzes AI loss of control (LOC) scenarios where human oversight fails to constrain autonomous general-purpose AI systems. It identifies warning signs of control-undermining capabilities such as deception, self-preservation, and autonomous replication, and argues that governments and stakeholders currently lack adequate detection, early warning, and emergency response protocols for such incidents.
Key Points
- •AI loss of control (LOC) scenarios — where human oversight fails to constrain autonomous AI — are increasingly plausible as advanced models develop deceptive and self-preserving capabilities.
- •Critical failures in advanced AI could trigger widespread disruptions across essential services and infrastructure, amplifying vulnerabilities in other domains.
- •Governments and stakeholders currently lack detection, early warning systems, and emergency response protocols specifically designed for AI LOC incidents.
- •The report calls for comprehensive emergency response frameworks analogous to those used for other critical infrastructure failures.
- •Warning signs identified include AI deception, self-preservation behaviors, and autonomous replication capabilities in advanced models.
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Strengthening Emergency Preparedness and Response for AI Loss of Control Incidents | RAND
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RR-A3847-1
As artificial intelligence (AI) systems become increasingly embedded in essential infrastructure and services, the risks associated with unintended failures rise. Developing comprehensive emergency response protocols could help mitigate these significant risks. This report focuses on understanding and addressing AI loss of control (LOC) scenarios where human oversight fails to adequately constrain an autonomous, general-purpose AI.
Strengthening Emergency Preparedness and Response for AI Loss of Control Incidents
Elika Somani, Anjay Friedman, Henry Wu, Marianne Lu, Christopher Byrd, Henri van Soest, Sana Zakaria
ResearchPublished Jul 30, 2025
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As artificial intelligence (AI) systems become increasingly embedded in essential infrastructure and services, the risks associated with unintended failures rise. Future critical failures fro
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