Skip to main navigation Skip to search Skip to main content

Human-Centered and Explainable Artificial Intelligence in Nuclear Operations

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus 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.

Original languageEnglish
Title of host publicationProceedings of the 68th HFES International Annual Meeting
Pages1563-1568
Number of pages6
Volume68
Edition1
DOIs
StatePublished - Aug 2024
Event68th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2024 - Phoenix, United States
Duration: Sep 9 2024 → Sep 13 2024

Publication series

NameProceedings of the Human Factors and Ergonomics Society
PublisherSAGE Publications Inc.
ISSN (Print)1071-1813

Conference

Conference68th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2024
Country/TerritoryUnited States
CityPhoenix
Period09/9/24 → 09/13/24

Keywords

  • human-centered AI
  • Artificial intelligence
  • Nuclear power

INL Publication Number

  • INL/CON-24-79831
  • 182459

Fingerprint

Dive into the research topics of 'Human-Centered and Explainable Artificial Intelligence in Nuclear Operations'. Together they form a unique fingerprint.

Cite this