Application possibilities of artificial intelligence in disaster management Part II.
Abstract
The aim of Part II of this study is to present the potential applications of artificial intelligence (AI) within the organizational system of disaster management, broken down into further specialized areas. It also aims to ensure that personnel become familiar with the opportunities offered by AI and how they can be used, focusing on the following areas:
Industrial Safety: Discusses the role of AI in managing risks associated with hazardous materials, including the use of drones for faster and broader identification of hazards, and improving inspections of industrial facilities.
Critical Infrastructure: Explores how AI can increase efficiency, improve security, and strengthen the protection of critical infrastructure against threats, while also addressing cybersecurity risks.
Transportation of Dangerous Goods: Examines how AI can improve the safety and efficiency of transporting dangerous goods by optimizing logistics, predicting equipment failures, and improving cybersecurity.
Perception of AI: Presents the results of surveys on attitudes towards AI in various sectors, including the public, medical professionals, and law enforcement.
References
Restás Á. „A drónok közszolgálati alkalmazásának lehetőségei” [Online]. Elérhetőség: https://kozszov.org.hu (2024.04.16.)
Uaslogic „Using Drones for Industrial Inspection” [Online] Elérhetőség: https://www.uaslogic.com/drones-for-industrial-inspection.html (2024.03.16.)
I. Rojek, M. Jasiulewicz-Kaczmarek, M. Piechowski and D. Mikołajewski „An Artificial Intelligence Approach for Improving Maintenance to Supervise Machine Failures and Support Their Repair” 2023, [Online] Elérhetőség: https://www.mdpi.com/2076-3417/13/8/4971 (2024.03.16.)
Eurostat „Statistics Explained, Road freight transport by type of goods” [Online] Elérhetőség: https://ec.europa.eu (2024.03.16.)
Váci napló online - Mindannyiunkat véd a VÉDA – állítják a rendőrök [Online] Elérhetőség: https://vaci-naplo.hu/2015/02/mindannyiunkat-ved-a-veda-allitjak-a-rendorok/ (2024.03.16.)
J. Chaudhry, A. K. Pathan, M. H. Rehmani & A. K. Bashir „Threats to critical infrastructure from AI and human intelligence” The Journal of Supercomputing volume 74, p 4865–4866 (2018) [Online] Elérhetőség: https://www.researchgate.net/publication/328167867_ Threats_to_critical_infrastructure_from_AI_and_human_intelligence (2024.03.16.)
SafeCare „Integrated cyber-physical security for health services” [Online] Elérhetőség: https://safecare-project.eu/?p=665 (2024.03.16.)
Parlamenti Infojegyzet 2019/11, „Mesterséges Intelligencia” 3. oldal [Online] Elérhetőség: https://www.parlament.hu (2024.03.16.)
Wold Economic Forum „5 charts that show what people around the world think about AI” 2022.01.05. [Online] Elérhetőség: https://www.weforum.org/stories/2022/01/artificial-intelligence-ai-technology-trust-survey/ (2024.03.16.)
L-M. Neudert, A. Knuutila, P. N. Howard „Global Attitudes Towards AI, Machine Learning & Automated Decision Making” Implications for Involving Artificial Intelligence in Public Service and Good Governance 7 October 2020. [Online] Elérhetőség: https://oxcaigg.oii.ox.ac.uk/wp-content/uploads/sites/11/2020/10/GlobalAttitudesTo wardsAIMachineLearning2020.pdf (2024.03.16.)
T. Vasiljeva, I. Kreituss and I. Lulle „Journal of Risk an Financial Management Article: Artificial Intelligence: The Attitude of the Public and Representatives of Various Industries” pp. 9. [Online] Elérhetőség: https://www.mdpi.com/1911-8074/14/8/339 (2024.03.16.)
Bo Z., Mao-Nian W., Shao-Jun Z., Hong-xia Z., Xiu-Lan H., Fang-Qin F., Yun J., Jian W., Wei-Hua Y., and Xue-Ping P. „Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey” pp. 5. 2021. [Online] Elérhetőség: https://pubmed.ncbi.nlm.nih.gov/34627239/ (2024.03.16.)
Gyaraki, R., Dobó, J. „A mesterséges intelligencia egyes felhasználási lehetőségei a rendvédelmi területeken” Magyar Rendészet, (2022). 21(4), pp. 71. [Online] Elérhetőség: https://doi.org/10.32577/mr.2021.4.3 (2024.03.16.)
J. J. Roldán-Gómez, E. González-Gironda and A. Barrientos „A Survey on Robotic Technologies for Forest Firefighting: applying Drone Swarms to Improve Firefighters’ Efficiency and Safety” pp. 4. [Online] Elérhetőség: https://www.mdpi.com/2076-3417/11/1/363
Copyright (c) 2025 Defence Science
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
