Human-Centered and Explainable Artificial Intelligence in Nuclear Operations

Nuclear power plants in the United States are critical to the nation’s energy security, accounting for 20% of all electricity produced for the power grid. As energy needs grow, 100 gigawatts of additional nuclear power will be necessary by 2050, more than double the current capacity. Realizing this target requires cutting-edge technology like artificial intelligence (AI) and machine learning (ML) that can bring about significant increases in the level of automation. Human-centered AI (HCAI) is a combination of human-centered design (human factors, human-in-the-loop, etc.) with AI/ML to help produce an efficient and reliable system with full consideration for human engagement. This paper provides a comprehensive and novel discussion of HCAI considerations in nuclear power, introducing unique applications for the existing fleet as well as new advanced reactor designs. We include real-life use cases of AI applications to work management processes at nuclear power sites and highlight lessons learned for HCAI.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2024-08-29
DOI
https://doi.org/10.1177/10711813241276463
Citations
4
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
1.85

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article

Human-Centered and Explainable Artificial Intelligence in Nuclear Operations

Vivek Agarwal, Anna Hall, Patrick Stuart Murray, Ronald L. Boring
4 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Risk and Safety Analysis
1.85
article

Human-Centered and Explainable Artificial Intelligence in Nuclear Operations

Vivek Agarwal, Anna Hall, Patrick Stuart Murray, Ronald L. Boring
article en
4 citations

Abstract

Nuclear power plants in the United States are critical to the nation’s energy security, accounting for 20% of all electricity produced for the power grid. As energy needs grow, 100 gigawatts of additional nuclear power will be necessary by 2050, more than double the current capacity. Realizing this target requires cutting-edge technology like artificial intelligence (AI) and machine learning (ML) that can bring about significant increases in the level of automation. Human-centered AI (HCAI) is a combination of human-centered design (human factors, human-in-the-loop, etc.) with AI/ML to help produce an efficient and reliable system with full consideration for human engagement. This paper provides a comprehensive and novel discussion of HCAI considerations in nuclear power, introducing unique applications for the existing fleet as well as new advanced reactor designs. We include real-life use cases of AI applications to work management processes at nuclear power sites and highlight lessons learned for HCAI.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 68(1)
Idaho National Laboratory (US)
U.S. Department of Energy, Battelle, Idaho National Laboratory
Affordable and clean energy
Openalex Percentile: Top 13%
Risk and Safety Analysis
1.85
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