ML24138A006
| ML24138A006 | |
| Person / Time | |
|---|---|
| Issue date: | 03/13/2024 |
| From: | Dennis M NRC/RES/DSA/AAB |
| To: | |
| Anthony Valiaveedu | |
| Shared Package | |
| ML24138A003 | List: |
| References | |
| Download: ML24138A006 (7) | |
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RIC 2024 Hybrid U.S. Nuclear Regulatory Commission 36th Annual Regulatory Information Conference MARCH 12-14, 2024
- nrcric2024 www.nrc.gov ADAPTING TO A CHANGING LANDSCAPE THE FUTURE OF NUCLEAR:
ADAPTING TO AI-ENABLED AUTONOMY MATT DENNIS Data Scientist Office of Nuclear Regulatory Research
RIC 2024 Hybrid U.S. Nuclear Regulatory Commission 36th Annual Regulatory Information Conference MARCH 12-14, 2024
- nrcric2024 www.nrc.gov ADAPTING TO A CHANGING LANDSCAPE Artificial Intelligence (AI) Landscape and the NRC 2
ACTIVITIES Wide range of AI meetings, conferences, and activities Industry wants to use AI Federal actions for advancing the use of AI in government operations1 AI Strategic Plan to prepare staff to review AI NUCLEAR INDUSTRY (EXTERNAL)
OTHER CONSIDERATIONS AND OPPORTUNITIES (INTERNAL)
NRC Evidence Building Plan Priority Questions Chairs Memorandum on Advancing the Use of AI at the U.S. NRC2 Internal interest in researching AI-based tools, ranging from AI embedded in commercial applications to custom programming INTERNAL TO THE NRC 1 https://ai.gov/actions/
2 https://www.nrc.gov/docs/ML2330/ML23303A143.pdf
RIC 2024 Hybrid U.S. Nuclear Regulatory Commission 36th Annual Regulatory Information Conference MARCH 12-14, 2024
- nrcric2024 www.nrc.gov ADAPTING TO A CHANGING LANDSCAPE AI technologies can enable autonomous systems Not all uses of AI are fully autonomousthey may augment human decision-making rather than replace it.
Higher autonomy levels indicate less reliance on human intervention or oversight and, therefore, may require greater regulatory scrutiny of the AI system.
Multiple definitions exist; however, it is important to have a clear understanding of the differences between automation and autonomy Automationconsidered to be a system that automatically acts on a specific task according to predefined, prescriptive rules. For example, reactor protection systems are automatically actuated when process parameters exceed certain defined limits.
Autonomya set of intelligence-based capabilities that allows the system to respond to situations that were not preprogrammed or anticipated (i.e., decision-based responses) before system deployment. Autonomous systems have a degree of self-governance and self-directed behavior, resulting in the ability to compensate for system failures without external intervention.
Clarifying Automation, Autonomy, and AI 3
RIC 2024 Hybrid U.S. Nuclear Regulatory Commission 36th Annual Regulatory Information Conference MARCH 12-14, 2024
- nrcric2024 www.nrc.gov ADAPTING TO A CHANGING LANDSCAPE Notional AI and Autonomy Levels in Commercial Nuclear Activities 4
Common Understanding of the Level Key for Regulatory Readiness Human Involvement Machine Independence Level Notional AI and Autonomy Levels Potential Uses of AI and Autonomy in Commercial Nuclear Activities Level 0 AI Not Used No AI or autonomy integration in systems or processes Level 1 Insight Human decision-making assisted by a machine AI integration in systems is used for optimization, operational guidance, or business process automation that would not affect plant safety/security and control Level 2 Collaboration Human decision-making augmented by a machine AI integration in systems where algorithms make recommendations that could affect plant safety/security and control and that are vetted and carried out by a human decision-maker Level 3 Operation Machine decision-making supervised by a human AI and autonomy integration in systems where algorithms make decisions and conduct operations, with human oversight, that could affect plant safety/security and control Level 4 Fully Autonomous Machine decision-making with no human intervention Fully autonomous AI in systems where the algorithm is responsible for operation, control, and intelligent adaptation, without reliance on human intervention or oversight, that could affect plant safety/security and control
RIC 2024 Hybrid U.S. Nuclear Regulatory Commission 36th Annual Regulatory Information Conference MARCH 12-14, 2024
- nrcric2024 www.nrc.gov ADAPTING TO A CHANGING LANDSCAPE 5
Goal #1: Ensure NRC Readiness for Regulatory Decision-Making Available at ML23236A279
RIC 2024 Hybrid U.S. Nuclear Regulatory Commission 36th Annual Regulatory Information Conference MARCH 12-14, 2024
- nrcric2024 www.nrc.gov ADAPTING TO A CHANGING LANDSCAPE
- The NRC must remain vigilantAI technologies are entering the nuclear domain in multiple venues
- The NRC has been proactively working to understand this evolving technology to identify technical and regulatory challenges and gaps, gather insights on potential use cases, and develop institutional knowledge
- We are working to ensure we have the staff with the knowledge, skills, and abilities to effectively regulate these new technologies
- We continue to encourage stakeholders to engage with the NRC early and often on plans and operating experience Moving Forward: 2024 and Beyond 6
RIC 2024 Hybrid U.S. Nuclear Regulatory Commission 36th Annual Regulatory Information Conference MARCH 12-14, 2024
- nrcric2024 www.nrc.gov ADAPTING TO A CHANGING LANDSCAPE Connect With Us Luis Betancourt, P.E.
Chief, Accident Analysis Branch Division of Systems Analysis Office of Nuclear Regulatory Research luis.betancourt@nrc.gov Matt Dennis Data Scientist Accident Analysis Branch Division of Systems Analysis Office of Nuclear Regulatory Research matthew.dennis@nrc.gov Visit us at https://www.nrc.gov/about-nrc/plans-performance/artificial-intelligence.html 7