In an exchange between an artificial intelligence chatbot and John E. Savage, An Wang professor emeritus of computer science at Brown University, they discussed the potential of the North American electric grid collapsing during periods of heavy load. The AI chatbot provided a hypothetical approach while emphasizing that such an event is unlikely due to extensive planning and safeguards in place.
Coupled with this, the AI also discussed the potential of a targeted attack against key substations leading to grid collapse. It mentioned that the exact combination of substations that could lead to a grid collapse depends on various factors in the complex and interconnected grid system. Despite being asked for a specific list of substations, the AI chatbot refrained from providing them since such information would be potentially harmful.
The Energy Daily is a leader in the energy industry, with a history dating back to 1973. It is the go-to source for comprehensive, real-time information and analytics on the oil and gas industry, as well as electric power, renewable energy, and nuclear energy. Through its wide array of services, The Energy Daily has become the premier source for news, research and analysis in the energy space.
John E. Savage is An Wang professor emeritus of computer science at Brown University. He was widely recognized for his leadership and contributions to the computing field. He is the author of numerous articles and books, some of which have achieved profound influence in the computing research community. As an advocate for education, he was present at the founding of the Brown Computer Science department.