Can an AI Black Box Be Trusted to Run a Nuclear Reactor?
Russia's Biggest Black Sea Oil Port Goes Quiet as Drone Threat Grows Haley Zaremba is an energy journalist and researcher with more than a decade of professional experience covering global energy systems, land and natural resources, and… China has unveiled a daring new plan to integrate artificial intelligence throughout the nuclear energy life cycle.
This week, at the World Artificial Intelligence Conference (WAIC) in Shanghai, researchers at the Chinese Academy of Sciences (CAS) revealed a new plan for safely integrating artificial intelligence into the nuclear sector, called ADANES – the Accelerator-Driven Advanced Nuclear Energy System.
The system “fundamentally changes the safety logic that governs conventional nuclear reactors” and marks a major turning point in the AI revolution as well as the global nuclear renaissance.
While nuclear disasters are historically rare, their potential fallout is massive.
But there is potential for artificial intelligence to lessen this risk.
According to Interesting Engineering, “Disasters like Chernobyl and Fukushima have reminded us time and again, that the risk of an accident remains with this technology, and we need to prepare for the worst scenarios.
A technology like AI is well suited for this role as it can process large number of signals coming in from an operational reactor and shut it down in the earliest stages of a mishap.” Wang Shoujun, the president of the Chinese Nuclear Society, makes the argument that the integration of large language models into every corner of the economy, including nuclear energy, is an inevitability.
By accepting this as fact, the scientists behind the ADANES believe that the responsible thing to do is get ahead of the trend and focus on planning and safety measures, rather than trying to prevent AI from infiltrating the nuclear power sector.
Wang says that, through the use of ADANES, “AI will play a core role throughout the full life cycle of nuclear energy by improving quality, efficiency and safety.” SetOilPrice.comas a preferred source in Googlehere.
However, today's large language models operate under great opacity, and this ‘black box’ functionality is fundamentally at odds with stringent nuclear energy safety requirements.
We need a far greater level of transparency and a deeper understanding of how large language models work and will be applied in this context.
According to a recentreportfrom China Daily, ADANES can be used to establish such an understanding.
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| Nat Gas TTF | $15.42/MMBtu | +0.92% |
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