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Latest News
The DOE’s plan for AI in NRC licensing
The Department of Energy announced the completion of a proof-of-concept demonstration of the use of Everstar’s AI tool to generate chapter 5 of an NRC license application from preliminary safety documents.
The 208-page document was created by the AI tool in approximately one day. According to the DOE, it would typically take a team of people between four and six weeks to complete this work.
Shulan Xu, Björn Dverstorp, Maria Nordén (Swedish Radiation Safety Authority)
Proceedings | 16th International High-Level Radioactive Waste Management Conference (IHLRWM 2017) | Charlotte, NC, April 9-13, 2017 | Pages 98-104
Several countries consider geological repositories as the preferred option for the final management of spent nuclear fuel, due to their potential to provide isolation from the surface environment on very long timescales. In post-closure radiological assessments of geological disposal of radioactive waste, the complexity of the assessment may increase as the site investigation program produces more extensive site data. In addition, consideration of climate change and its impact on the future evolution of the site will add complexity to the assessment. With this paper the Swedish Radiation Safety Authority (SSM) wants to describe the authority’s review of the dose assessment in a post-closure safety assessment for the license application for construction of a geological repository. And how SSM has tried to disseminate this experience internationally. Emphasizing the importance of explanatory power to gain confidence from authorities and the public.