2025 Undergraduate Research Showcase

AI and Security in Nuclear Energy

Document Type

Student Presentation

Presentation Date

4-15-2025

Faculty Sponsor

Dr. Josh Eixenberger

Abstract

As artificial intelligence continues to grow in relevance across numerous industries, we believe it holds tremendous potential within the field of nuclear energy. When implemented effectively, AI can enhance fault detection and diagnosis, improve operational safety, and support a wide range of critical functions. One particularly promising application is the monitoring of human error—an ongoing challenge that has contributed to several major accidents and outages in the past.

By integrating AI into nuclear systems, we can not only strengthen internal operations but also reallocate valuable human resources to focus on external threats, particularly in cybersecurity. In a domain where both operational reliability and protection against cyberattacks are crucial, AI offers a pathway to more efficient and proactive threat mitigation.

Ultimately, we believe that embracing AI in nuclear energy can pave the way for a safer, more secure, and more effective future for the industry—and, in turn, a safer society.

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