AI Coordination for More Resilient Critical Infrastructure Systems

What is it about?

This paper explains how artificial intelligence can help improve the resilience of interconnected critical infrastructure systems, such as power grids, communication networks, and transportation systems. Instead of treating each infrastructure as an isolated system, the paper views them as a system-of-systems, where failures in one system can spread to others through physical, cyber, and operational links. The study does not propose a new AI algorithm; rather, it provides a systems engineering framework that shows how AI can support cross-system situational awareness, coordinated decision-making, adaptive response, and recovery. The framework positions AI as a decision-support and coordination layer, not as a centralized controller, so that each infrastructure system can retain its own autonomy while benefiting from better coordination.

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Photo by Scott Rodgerson on Unsplash

Photo by Scott Rodgerson on Unsplash

Why is it important?

Modern infrastructure failures are rarely isolated. A power outage can weaken communication services, communication failures can reduce power system monitoring capability, and uncoordinated responses can worsen cascading failures. This paper is important because it shifts the focus from local system optimization to cross-system resilience mechanisms. The illustrative power–communication case study shows that AI-enabled coordination can substantially improve service availability, reduce cascading propagation, and shorten recovery time compared with decentralized responses without coordination. This makes the work timely for future smart cities and critical infrastructure systems, where resilience depends not only on stronger individual systems, but also on better interaction and coordination among them.

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