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Research Article | Open Access

Enabling the upgrading of security emergency technology in the AI era

The National Committee of the Chinese People’s Political Consultative Conference, Beijing 100034, China
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Abstract

Currently, various industries are facing a variety of security risks and challenges. With the development of a new generation of information technology, artificial intelligence (AI), which enables security emergency technology upgrades, has become an inevitable trend. To enable AI to upgrade security emergency technology, this paper proposes a methodological path that couples advanced sensing systems, data resource sharing databases, and smart models in the cloud and security and emergency fields. Moreover, this paper proposes improving and strengthening the management of safety emergency science and technology with systematic thinking to improve the level of industry science and technology with AI and other technologies with the awareness of taking the lead, promoting the construction of an industry innovation system with a system concept, strengthening the coordination and cooperation with advantageous innovation resources with an open attitude, and strengthening the original innovation ability with the spirit of consolidating the foundation and strengthening the source to build a safety emergency science and technology innovation system. This paper provides an effective reference for the transformation and upgrading of the security emergency field in the latest round of scientific and technological revolution.

References

[1]

Chandra, A., Chakraborty, A. 2024. Exploring the role of large language models in radiation emergency response. Journal of Radiological Protection, 44: 011510.

[2]

Chen, Z., Lin, Z., Yang, J., Chen, C., Liu, D., Shan, L., Hu, Y., Guo, T., Chen, H. 2024. Cross-layer transmission realized by light-emitting memristor for constructing ultra-deep neural network with transfer learning ability. Nature Communications, 15: 1930.

[3]

Jalal, S., Parker, W., Ferguson, D., Nicolaou, S. 2021. Exploring the role of artificial intelligence in an emergency and trauma radiology department. Canadian Association of Radiologists Journal, 72: 167–174.

[4]

Khatatbeh, I. N., Moosa, I. A. 2023. Financialisation and income inequality: An investigation of the financial Kuznets curve hypothesis am ong developed and developing countries. Heliyon, 9: e14947.

[5]

Klahr, D. 2019. Learning sciences research and Pasteur’s quadrant. Journal of the Learning Sciences, 28: 153–159.

[6]

Lakkimsetti, M., Devella, S. G., Patel, K. B., Dhandibhotla, S., Kaur, J., Mathew, M., Kataria, J., Nallani, M., Farwa, U. E., Patel, T., et al. 2024. Optimizing the clinical direction of artificial intelligence with health policy: A narrative review of the literature. Cureus, 16: e58400.

[7]

Liu, Z., Li, J., Ashraf, M., Syam, M. S., Asif, M., Awwad, E. M., Al-Razgan, M., Bhatti, U. A. 2024. Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective. Big Data Research, 36: 100449.

[8]

Rosenzweig, C., Solecki, W. 2019. New York city panel on climate change 2019 report chapter 1: Introduction. Annals of the New York Academy of Sciences, 1439: 22–29.

[9]

Sáez, C., Ferri, P., García-Gómez, J. M. 2024. Resilient artificial intelligence in health: Synthesis and research agenda toward next-generation trustworthy clinical decision support. Journal of Medical Internet Research, 26: e50295.

[10]

Sahoh, B., Choksuriwong, A. 2022. A proof-of-concept and feasibility analysis of using social sensors in the context of causal machine learning-based emergency management. Journal of Ambient Intelligence and Humanized Computing, 13: 3747–3763.

[11]

Semin, M., Kormshchikov, D. 2024. Application of artificial intelligence in mine ventilation: A brief review. Frontiers in Artificial Intelligence, 7: 1402555.

[12]

Siegenfeld, A. F., Bar-Yam, Y. 2020. An introduction to complex systems science and its applications. Complexity, 2020: 6105872.

[13]

Tomur, E., Bilgin, Z., Gülen, U., Soykan, E. U., Karaçay, L., Karakoç, F. 2024. Intent-based security for functional safety in cyber-physical systems. IEEE Transactions on Emerging Topics in Computing, 12: 615–630.

[14]

Yang, Y., Zhang, C., Zhao, K., Wang, Q. 2023. The shifting role of information processing and management in interdiscipline development: From a collection of tools to a crutch. Information Processing & Management, 60: 103388.

[15]
Yin, W. 2023. Monitoring and early warning of artificial intelligence system in public health safety law. Soft Computing, https://doi.org/10.1007/s00500-023-08892-5
[16]

Zhang, F., Qiao, Q., Wang, J., Liu, P. 2022. Data-driven AI emergency planning in process industry. Journal of Loss Prevention in the Process Industries, 76: 104740.

[17]

Zhen, Z., Li, Z., Wang, F., Xu, F., Li, G., Zhao, H., Ma, H., Zhang, Y., Ge, X., Li, J. 2024. CNN-LSTM networks based sand and dust storms monitoring model using FY-4A satellite data. IEEE Transactions on Industry Applications, 60: 5130–5141.

[18]
Zhou, K. Z., Choudhry, A., Gumusel, E., Sanfilippo, M. R. 2024. “Sora is incredible and scary”: Emerging governance challenges of text-to-video generative AI models. arXiv preprint, arXiv: 2406.11859.
[19]
Zhou, Y. 2024. Logistics security integrated communication system under the background of 5G artificial intelligence. In: Proceedings of International Conference on Artificial Intelligence and Communication Technologies. Smart Innovation, Systems and Technologies, Vol. 368. Kountchev, R., Patnaik, S., Nakamatsu, K., Kountcheva, R., Eds. Springer Singapore, 325–334.
[20]

Zhu, L., Chen, P., Dong, D., Wang, Z. 2022. Can artificial intelligence enable the government to respond more effectively to major public health emergencies? —Taking the prevention and control of Covid-19 in China as an example. Socio-Economic Planning Sciences, 80: 101029.

Safety Emergency Science
Article number: 9590003
Cite this article:
Shang Y. Enabling the upgrading of security emergency technology in the AI era. Safety Emergency Science, 2025, 1(1): 9590003. https://doi.org/10.26599/SES.2025.9590003
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