AIPolicyTracker

MIT AI Risk Repository · Risk Sub-Category · 72.03.01

Nuclear Power Systems

Category: Accident Risks

Description

"General-purpose AI deployed for reactor monitoring, control system optimization, or emergency response coordination could misinterpret sensor data, fail to recognize critical safety conditions, or make erroneous control decisions during emergency scenarios. Given the catastrophic potential of nuclear accidents, even minor AI reasoning errors in safety-critical functions could lead to core meltdowns, radiation releases, or widespread contamination affecting hundreds of thousands of people across international borders."

From Frontier AI Risk Management Framework (v1.0) (Tse2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Causal entity
AI

Subdomain definition: AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.

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How other frameworks describe this risk

Other entries from Tse2025