How The Nuclear Energy Industry Could Benefit From AI, And The Challenges That Remain

The sector is one of the most heavily regulated and AI models will need standardised safety protocols before full integration

How The Nuclear Energy Industry Could Benefit From AI, And The Challenges That Remain
The International Atomic Energy Agency says that the potential applications of AI for nuclear power plants are vast. Courtesy Meta.

The nuclear industry is increasingly exploring artificial intelligence (AI) and machine learning (ML) to improve operations, increase safety and streamline regulatory processes. But while these technologies offer significant opportunities, their integration into this highly regulated sector presents challenges.

The International Atomic Energy Agency (IAEA) says that the potential applications of AI for nuclear power plants are vast. It could bolster efficiency and adjust power generation based on real-time data, handle routine tasks using automation and robotics, leaving human personnel to focus on high value tasks and plant efficiency.

AI and ML are not meant to replace people, but to enhance efficiency and precision. “This technology does not replace human analysis. However, it can deliver faster, more accurate results while relying on less, yet still indispensable, human interaction,” the IAEA says.

Key Players And Key Applications

The IAEA is promoting the adoption of AI and recently designated its first collaborating centre on artificial intelligence for nuclear power at Purdue University in the US state of Indiana. The initiative supports knowledge sharing and industry-wide confidence in AI for nuclear applications.

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