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Damage to critical infrastructure

Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems

Gipiškis et al. (2024)

Sub-category
Risk Domain

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.

"The integration of AI systems within critical infrastructure, ranging from trans- portation to power systems, can cause substantial damage in cases of failure or malfunction. With the increasing number of Internet of Things (IoT) devices and interconnected cyber-physical systems, critical infrastructure becomes even more vulnerable [171, 174]."(p. 46)

Other risks from Gipiškis et al. (2024) (144)