{"id":4482,"date":"2026-07-26T00:00:00","date_gmt":"2026-07-25T21:00:00","guid":{"rendered":"https:\/\/mikhailinvest.com\/can-an-ai-black-box-be-trusted-to-run-a-nuclear-reactor\/"},"modified":"2026-07-26T00:00:00","modified_gmt":"2026-07-25T21:00:00","slug":"can-an-ai-black-box-be-trusted-to-run-a-nuclear-reactor","status":"publish","type":"post","link":"https:\/\/mikhailinvest.com\/ru\/can-an-ai-black-box-be-trusted-to-run-a-nuclear-reactor\/","title":{"rendered":"Can an AI Black Box Be Trusted to Run a Nuclear Reactor?"},"content":{"rendered":"

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\u00a0 \u2013 the Accelerator-Driven Advanced Nuclear Energy System. The system \u201cfundamentally changes the safety logic that governs conventional nuclear reactors\u201d and marks a major turning point in the AI revolution as well as the global nuclear renaissance.<\/p>\n

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, \u201cDisasters 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.\u201d<\/p>\n

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, \u201cAI will play a core role throughout the full life cycle of nuclear energy by improving quality, efficiency and safety.\u201d<\/p>\n

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However, today’s large language models operate under great opacity, and this \u2018black box\u2019 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 recent \u043e\u0442\u0447\u0435\u0442<\/a> from China Daily, ADANES can be used to establish such an understanding.<\/p>\n

\u201cThe AI architecture consists of five layers \u2014 a unified data infrastructure, physics-native world models, physical-system control, intelligent-agent coordination and continuous evolution \u2014 embedding AI throughout the system’s full life cycle, from design and commissioning to operation and maintenance,\u201d the report states. China is also developing a national-scale supportive infrastructure to provide an \u201cengineering verification platform\u201d for ADANES in order to shore up the long-term stability and viability of the system.<\/p>\n

It\u2019s true that the artificial intelligence boom is already finding its way into the nuclear energy sector in various ways and to varying degrees. Earlier this year, tech giants Microsoft and NVIDIA announced that they are jointly rolling out an AI-powered toolkit<\/a> designed to cut down on arduous permitting, design, and engineering processes that have made new nuclear plants notoriously slow and expensive to build in the United States.<\/p>\n

Ushering in a new digital era for nuclear power, the toolkit \u201cprovides end-to-end tools that combine AI and digital twins for creating faster iterative design and engineering solutions,\u201d according to a March \u043e\u0442\u0447\u0435\u0442<\/a> from Interesting Engineering. \u201cLicensing and permitting is handled by Generative AI for document drafting and gap analysis.\u201d<\/p>\n

Furthermore, the push to develop new and advanced nuclear energy generation capacity is also being largely driven by the AI boom. Silicon Valley is getting increasingly involved in funding and developing next-gen nuclear technologies in order to fuel the rapidly growing energy demands of generative AI, which are projected to far outstrip energy additions unless we make some major breakthroughs. China is not the only nation making unsettlingly daring decisions when it comes to nuclear power. A wave of U.S.-based startups is also eagerly crowding into the sector with concerning disregard for safety measures<\/a>, creating a concerning security environment in the world’s largest economies.<\/p>\n

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