DOE OSTI · 3024056
Ensuring Safe, Effective, and Reliable Use of Artificial Intelligence-Based Applications for Nuclear Electricity Generation through a Systems Approach
Abstract
There is a significant potential to reduce operating and maintenance cost at nuclear power plants using artificial intelligence (AI) and machine learning (ML). For instance, AI/ML has the potential to significant improve work management processes, condition reporting, and plant surveillance activities. However, the nuclear industry has been slow in adopting AI/ML due to several multifaceted barriers discussed in this paper. This work presents such multidisciplinary approach intended to 1) accelerate industry adoption of AI/ML-based applications at nuclear power plants and 2) ensure their safe, reliable, and effective use. This approach is discussed further in this work and will be used to address overarching challenges associated with AI deployment at scale to provide industry guidance that support accelerated adoption of AI/ML technologies throughout the industry.
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Kovesdi, Casey R [Idaho National Laboratory] (ORCID:0000000235736769), Joe, Jeffrey C [Idaho National Laboratory] (ORCID:0000000182958519), Mohon, Jeremy David [Idaho National Laboratory] (ORCID:0000000178597327), Wilcken, Brian M [Idaho National Laboratory], Mapes, John Norman [Idaho National Laboratory], Lin, Linyu [Idaho National Laboratory] (ORCID:0000000269212795), Agarwal, Vivek [Idaho National Laboratory] (ORCID:0000000313340509). 2025-06-18. Ensuring Safe, Effective, and Reliable Use of Artificial Intelligence-Based Applications for Nuclear Electricity Generation through a Systems Approach. https://www.osti.gov/biblio/3024056
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