Capacity to Build Artificial Intelligence Systems for Nuclear Energy Security and Sustainability: Experience of Belarus - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Capacity to Build Artificial Intelligence Systems for Nuclear Energy Security and Sustainability: Experience of Belarus

Yuliya Pranuza
  • Fonction : Auteur
  • PersonId : 1260147

Résumé

In recent decades the danger of man-made hazards in the nuclear field has increased dramatically. Belarusian scientists have accumulated considerable innovative potential in health care, agriculture, the creation of new life support technologies in radioactively contaminated areas. This information is required when working out catastrophe scenarios at nuclear power plants. The definition of situational innovations is developed that are intended for use in certain circumstances and are essential for the achievement of unique goals including ensuring people’s life and safety. The highlighting situational innovations makes it possible to determine their adaptation, use and replication in other economies, to diffuse them, to increase effectiveness of the cost of their working out. The results of the study indicate that (1) the unique experience of Belarus in overcoming the consequences of a nuclear disaster is of great practical importance for other countries operating nuclear objects, (2) the situational innovations resulting from the overcoming of nuclear disaster need to be consolidated into a data base and incorporated into the international data base of the results of nuclear research, (3) the application of Artificial Intelligence (AI) systems allows to accumulate, store, speed up the search of information in a single source and provide the necessary situational innovations in case of need (nuclear accident). AI systems also help to prevent and reduce the risk of nuclear accidents. Development and using AI will allow to help countries worldwide develop nuclear disaster information management systems and reduce existing disaster risk for sustainable development in the future.
Fichier sous embargo
Fichier sous embargo
0 7 14
Année Mois Jours
Avant la publication
mercredi 1 janvier 2025
Fichier sous embargo
mercredi 1 janvier 2025
Connectez-vous pour demander l'accès au fichier

Dates et versions

hal-04120824 , version 1 (07-06-2023)

Licence

Paternité

Identifiants

Citer

Yuliya Pranuza. Capacity to Build Artificial Intelligence Systems for Nuclear Energy Security and Sustainability: Experience of Belarus. IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KMES), Aug 2021, Montreal, QC, Canada. pp.128-140, ⟨10.1007/978-3-030-96592-1_10⟩. ⟨hal-04120824⟩
34 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More