Blackout elettrici da ondate di calore, un nuovo progetto ENEA per evitarli
2023-05-25
Teknoring
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Researchers from ENEA, Politecnico di Bari, and Università Roma Tre developed and tested an AI-based system using machine learning to predict and prevent electrical grid failures caused by heatwaves. The system aims to enhance grid resilience and avoid blackouts, especially in urban areas increasingly affected by climate change.[AI generated]
Why's our monitor labelling this an incident or hazard?
The event involves the use of an AI system (machine learning algorithms) developed and tested to predict faults in an electrical distribution network vulnerable to heat waves. The AI system's role is in its use phase, providing forecasts to prevent blackouts, which are a form of harm to critical infrastructure and communities. Since the system is designed to prevent harm and no incident of harm caused by the AI is reported, this qualifies as an AI Hazard: the AI system's use could plausibly lead to the prevention of harm, or if misused or malfunctioning, could lead to harm. The article does not report any realized harm or malfunction caused by the AI system, nor does it describe a response to a past incident, so it is not an AI Incident or Complementary Information. It is not unrelated because the AI system is central to the event.[AI generated]