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数据科学和人工智能监管.docx
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2024-04-22
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数据科学和人工智能监管.docx
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Opening Remarks
Theresa
Lalain,
Ph.D.
Deputy Director, Division of Systems Analysis
Office of Nuclear Regulatory Research
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WELCOME
• Over 250
registered
attendees
• Participation
from U.S.,
Canada, Spain,
France, UAE,
and Japan
![](https://csdnimg.cn/release/download_crawler_static/89204320/bg3.jpg)
Regulatory
Purpose
•
NRC recognizes a need to
use data analytics for
regulatory enhancements
as part of its effort to
become a modern, risk-
informed regulator
1
•
The nuclear industry is
investigating and using AI
applications; therefore,
the NRC must be
prepared to understand
and evaluate the
technology
![](https://csdnimg.cn/release/download_crawler_static/89204320/bg4.jpg)
Data Science and
Artificial Intelligence
Overview
•
Artificial
Intelligence
(AI)
–
Build
“intelligent”
smart
machines
•
Machine
Learning
(ML)
–
Learn from data and deliver
predictive models
•
Natural
Language
Processing
(NLP)
–
Process and analyze large amounts
of natural language data
•
Deep
Learning
(DL)
–
ML methods based on artificial
neural networks
![](https://csdnimg.cn/release/download_crawler_static/89204320/bg5.jpg)
Engagement
and
Initiatives
SHARING KNOWLEDGE
AND SEEKING
STAKEHOLDER INPUT
LEVERAGING
RESEARCH
ACTIVITIES
NRC is engaging and participating with external entities to best
prepare for AI impacts on regulatory processes and decisionmaking
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