By /

Zachary Davis

Artificial Intelligence Applications in Nuclear Training

Biography

Hi, I’m Zachary Davis! I’ve always had a deep passion for education and curiosity, which has naturally led me to focus on science communication. I love making complex topics accessible and engaging for everyone.

My internships at Kensington Health and Ontario Power Generation have given me incredible opportunities to apply this passion in real-world settings. My recent experience in the energy sector, particularly learning about nuclear power, has been especially exciting—it’s sparked a new enthusiasm for understanding and sharing the science behind clean energy and power generation.

I’m always looking for new ways to bridge the gap between science and the public, and I can’t wait to see where this journey takes me next!

Details of Project

With the growing demand for nuclear energy, the need for a well-trained workforce is greater than ever. AI is emerging as a powerful tool to enhance training by optimizing processes, improving safety, and personalizing learning experiences. After reviewing reports from the IAEA, NRC, ANS, CNSC, and 6 companies. Current applications found in the nuclear industry included:


Chatbots & AI Assistants – OPG’s ChatOPG and Westinghouse’s Bertha support workforce upskilling and operational efficiency.


Incident Management & CAP Analysis – Companies like Xcel Energy and EDF leverage AI to detect performance gaps and improve safety protocols.

While AI presents significant opportunities, its integration into nuclear training must align with strict regulatory frameworks. Further research is needed to establish standards and maximize AI’s potential in nuclear safety and workforce development.

Lightning talk

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