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AI Risk

Critical infrastructure component failures when integrated with AI systems

"When relying on GPAI in critical infrastructure, there may be common mode failures that begin with vulnerabilities or robustness issues in the underlying model architecture or training setup. These failures may happen accidentally (in edge-cases) or due to adversarial inputs to the AI systems [58]."

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AI Risk7. AI System Safety, Failures, & Limitations7.3 > Lack of capability or robustness2 - Post-deployment

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Techniques1Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

Risk profile

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Domain7. AI System Safety, Failures, & Limitations
Subdomain7.3 > Lack of capability or robustness
Entity2 - AI
Intent3 - Other
Timing2 - Post-deployment
CategoryImpacts of AI (Physical)
SubcategoryCritical infrastructure component failures when integrated with AI systems

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No propagated mitigations. No defense is available through the connected attack methods.

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