Data Science and Artificial Intelligence Regulatory Applications Workshops
On this page:
Overview:
The U.S. Nuclear Regulatory Commission (NRC) is hosting a series of Data Science and Artificial Intelligence (AI) Regulatory Applications Public Workshops to provide a forum for the U.S. NRC, nuclear industry and stakeholders to discuss the state of knowledge and research activities related to data science and artificial intelligence and their application in the nuclear industry. The workshops seek to:

Workshop Topics and Registration
Participants are requested to register for the workshop at the link provided in the table below. Following registration, you will receive an email containing a calendar appointment reminder and a link to the Microsoft Teams Meeting.
Title |
Time |
Date |
Location |
Registration |
Workshop #5: AI Regulatory Framework Applicability Considerations |
9:00am – 5:00pm ET |
Tuesday, September 17, 2024 |
NRC Headquarters (Auditorium) – Rockville, MD and Microsoft Teams Meeting |
CLOSED |

Past Workshops
Workshop #1: Introduction to AI
Purpose:
The first workshop in the Data Science and Artificial Intelligence Regulatory Applications Workshops series is intended to cover state-of-practice tools, methods and procedures in artificial intelligence (AI), machine learning (ML), and deep learning (DL) applicable to the reactor safety program and to orient workshop participants to current AI terminology, software tools, and best practices.
Workshop #2: Current Topics
Purpose:
The second workshop in the Data Science and Artificial Intelligence Regulatory Applications Workshops series is intended to provide an overview of current NRC and industry initiatives to expand and apply data science and AI, including early stage project development and research to solve ongoing issues. Topics in the second workshop will focus on enabling regulatory transformation to increase efficiency, leveraging publicly available data sources such as the agency’s document management system ADAMS, and highlighting current projects which may influence regulatory decisionmaking, provide alternative approaches to traditional analyses, or are seeking to optimize industry efficiency.
Workshop #3: Future Focused Initiatives
The third workshop in the Data Science and Artificial Intelligence Regulatory Applications Workshops series is intended to cover future focused AI-related research and development projects which may impact or address regulatory decisionmaking, explore ways to harness existing data sets relevant to NRC and industry, and discuss areas for potential collaboration. The workshop will provide an opportunity for NRC staff, presenters, and attendees to discuss regulatory and technical issues and make comments about topics discussed during this or previous workshops.
Workshop #4: AI Characteristics for Regulatory Consideration
Purpose:
The fourth workshop in the Data Science and Artificial Intelligence Regulatory Applications Workshops series is intended to provide an opportunity for NRC and interested stakeholders to (1) present AI use cases being developed for nuclear applications, and (2) provide feedback on regulatory and technical issues surrounding AI usage in nuclear applications. Insights from previous workshops informed the development of the NRC’s AI Strategic Plan (NUREG-2261). Table 1, “Notional AI and Autonomy Levels in Commercial Nuclear Activities,” of the AI Strategic Plan presents a notional framework to consider the levels of human-machine interaction with AI systems and serves as a starting point in this public meeting to further discuss the variety of AI characteristics which may affect regulatory considerations at each level. The workshop will provide an opportunity for NRC staff, presenters, and attendees to discuss regulatory and technical issues and provide feedback on topics discussed during this or previous workshops.

Workshop #5: AI Regulatory Framework Applicability Considerations
Purpose:
The fifth workshop in the Data Science and Artificial Intelligence Regulatory Applications Workshops series is intended to provide an opportunity for NRC and interested stakeholders to (1) discuss the outcomes from the regulatory framework applicability assessment of AI in nuclear applications, (2) present AI use cases being developed for nuclear applications, and (3) provide feedback on regulatory and technical issues surrounding AI usage in nuclear applications. The workshop will provide an opportunity for NRC staff, presenters, and attendees to discuss regulatory and technical issues and provide feedback on topics discussed during this or previous workshops. These workshops are part of the agency’s efforts to prepare for safety reviews of future AI applications and support the NRC's AI Project Plan, Revision 0 which describes how the agency will execute the five strategic goals from the AI Strategic Plan (NUREG-2261).

NRC AI Symposium 2025: Maintaining Momentum in 2025 - NRC Artificial Intelligence Activities and Stakeholder Progress
Purpose:
Scheduled to coincide with the NRC's 37th annual Regulatory Information Conference (RIC 2025, March 11-13, 2025), the NRC AI Symposium 2025 provided an opportunity for NRC and interested stakeholders to offer brief updates on AI progress since the 5th NRC AI Workshop and participate in an open discussion on regulatory and technical issues surrounding AI usage in nuclear.
NRC AI Symposium 2025 Agenda
Maintaining Momentum in 2025: NRC Artificial Intelligence Activities and Stakeholder Progress
Thursday, March 13, 2025
1:00 p.m. to 5:00 p.m. ET
Hybrid (NRC Headquarters, Auditorium - Rockville, MD and Microsoft Teams) |
Time (Eastern) |
Topic |
Presenter |
1:00 p.m. – 1:10 p.m. |
Opening and Logistics |
Taylor Lamb, NRC |
1:10 p.m. – 1:25 p.m. |
AI for a Smarter Tomorrow: NRC’s Strategic Approach |
Basia Sall, Katie McCurry, NRC |
1:25 p.m. – 1:40 p.m. |
AI Strategic Plan Project Plan Updates |
Vic Hall, NRC |
1:40 p.m. – 1:50 p.m. |
Q&A on NRC presentations |
1:50 p.m. – 2:05 p.m. |
ACE - A Machine Learning based Core Loading Pattern Optimization Tool + Westinghouse AI Application for Visual Inspections |
Johan Hammarström, Björn Andersson, Westinghouse |
2:05 p.m. – 2:20 p.m. |
Enhancing Document Retrieval in the Nuclear Industry: The TerraPower AI Searchbot Experience |
Michael Castillo, TerraPower |
2:20 p.m. – 2:35 p.m. |
Nuclear Industry Objectives and Experience in Leveraging AI |
Kelli Voelsing, NEI |
2:35 p.m. – 3:05 p.m. |
Break |
3:05 p.m. – 3:20 p.m. |
An AI-Driven Cyber-Physical Testbed for Small-Scale Advanced Reactors |
Yang Liu, TAMU |
3:20 p.m. – 3:35 p.m. |
Centralized Nuclear Industry Artificial Intelligence Model |
Kenny Comeaux, INPO |
3:35 p.m. – 3:50 p.m. |
Aligning Innovation with Safety: Adapting AI to an Ever-Changing Nuclear Landscape; AI-Supported Engineering Workflows: Optimizing the Nuclear Site License Renewal Process |
Pravallika Devineni, Duke Energy |
3:50 p.m. – 4:05 p.m. |
Strategic Implementation of Artificial Intelligence for Performance Improvement and Efficiency |
Jesse Thomas, Southern |
4:05 p.m. – 4:20 p.m. |
Creating a Business Focused Independent Working Group on AI in the Nuclear Power Industry |
Phil Zeringue, Nuclearn |
4:20 p.m. – 5:00 p.m. |
Moderated Open Discussion |

If you have questions or need further information regarding the workshop, please contact the following:

Page Last Reviewed/Updated Tuesday, March 25, 2025