Human-Centered and Explainable Artificial Intelligence in Nuclear Operations

Journal Article · Thu Aug 29 00:00:00 EDT 2024 · Proceedings of the Human Factors and Ergonomics Society Annual Meeting

DOI:https://doi.org/10.1177/10711813241276463· OSTI ID:2482599

Hall, Anna ^[1]; Murray, Patrick ^[2]; Boring, Ronald L. ^[1]; Agarwal, Vivek ^[1]

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1. Idaho National Laboratory, Idaho Falls, ID, USA
2. EQRPI, Inc., New Lenox, IL, USA

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.

• Sponsoring Organization: USDOE
• Grant/Contract Number: AC07-05ID14517
• OSTI ID: 2482599
• Alternate ID(s): OSTI ID: 2480314
• Journal Information: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Journal Name: Proceedings of the Human Factors and Ergonomics Society Annual Meeting Journal Issue: 1 Vol. 68; ISSN 1071-1813
• Publisher: SAGE Publications
• Country of Publication: Country unknown/Code not available
• Language: English