Safety of Nuclear Waste Disposal
Safety of Nuclear Waste Disposal
SaND
Articles | Volume 2
Articles | Volume 2
https://doi.org/10.5194/sand-2-139-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/sand-2-139-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 2
Conference Abstract
 | 
06 Sep 2023
Conference Abstract |  | 06 Sep 2023

Potential and challenges of applying artificial intelligence (AI) in geosciences to the search for a high-level waste repository in Germany

Fabien Magri, Ingo Kock, Judith Krohn, Florian Krob, Veronika Ustohalova, Stefan Wittek, and Dimitri Bratzel

Viewed

Total article views: 167 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
93 63 11 167 10 8
  • HTML: 93
  • PDF: 63
  • XML: 11
  • Total: 167
  • BibTeX: 10
  • EndNote: 8
Views and downloads (calculated since 06 Sep 2023)
Cumulative views and downloads (calculated since 06 Sep 2023)
Latest update: 15 Nov 2024
Download
Short summary
In this project, an assessment tool is developed to evaluate the applicability of AI methods in geosciences with respect to key geological activities in the site selection process. The results show that AI should not have any decision-making power when used in the site selection process. It is strongly recommended that all methods should be evaluated and validated iteratively and that the results should be made publicly available when applied to the key activities of the site selection process.
Read more