[1]

Wu C. 2025. Research on the training mode of safety professionals for new quality productivity. Safety & Security 46:64−73 (in Chinese)

doi: 10.19737/j.cnki.issn1002-3631.2025.02.010
[2]

Turing AM. 2007. Computing machinery and intelligence. In Parsing the Turing Test, eds. Epstein R, Roberts G, Beber G. Dordrecht, Netherlands: Springer. pp. 23−65 doi: 10.1007/978-1-4020-6710-5_3
[3]

McCarthy J, Minsky ML, Rochester N, Shannon CE. 2006. A proposal for the Dartmouth summer research project on artificial intelligence, August 31, 1955. AI Magazine 27:12−14

doi: 10.1609/aimag.v27i4.1904
[4]

Sarker IH, Furhad MH, Nowrozy R. 2021. AI-driven cybersecurity: an overview, security intelligence modeling and research directions. SN Computer Science 2:173

doi: 10.1007/s42979-021-00557-0
[5]

Johnson B. 2022. Metacognition for artificial intelligence system safety – an approach to safe and desired behavior. Safety Science 151:105743

doi: 10.1016/j.ssci.2022.105743
[6]

Lv ZF, Ma G, Sun XW, Wang LR, Shi LY, et al. 2019. Overview of concept, classification & study status of artificial intelligence security (I). Smart Power 47:32−42 (in Chinese)

doi: 10.3969/j.issn.1673-7598.2019.08.005
[7]

Wang HH, Li HM, Peng GH. 2024. Review of artificial intelligence security research. Electronics Quality 24:114−117 (in Chinese)
[8]

Chen H, Wang FY, Zeng D. 2004. Intelligence and security informatics for homeland security: information, communication, and transportation. IEEE Transactions on Intelligent Transportation Systems 5:329−341

doi: 10.1109/TITS.2004.837824
[9]

Chen H, Wang FY. 2005. Guest editors' introduction: artificial intelligence for homeland security. IEEE Intelligent Systems 20:12−16

doi: 10.1109/MIS.2005.88
[10]

Kharazishvili Y, Kwilinski A. 2022. Methodology for determining the limit values of national security indicators using artificial intelligence methods. Virtual Economics 5:7−26

doi: 10.34021/ve.2022.05.04(1)
[11]

Sanclemente GL. 2022. Reliability: understanding cognitive human bias in artificial intelligence for national security and intelligence analysis. Security Journal 35:1328−1348

doi: 10.1057/s41284-021-00321-2
[12]

Park AJ, Tsang HH, Sun M, Glässer U. 2012. An agent-based model and computational framework for counter-terrorism and public safety based on swarm intelligence. Security Informatics 1:23

doi: 10.1186/2190-8532-1-23
[13]

Vaseashta A. 2014. Advanced sciences convergence based methods for surveillance of emerging trends in science, technology, and intelligence. Foresight 16:17−36

doi: 10.1108/FS-10-2012-0074
[14]

Drăgoicea M, Badr NG, Falcão e Cunha J, Oltean VE. 2018. From data to service intelligence: exploring public safety as a service. In Exploring Service Science, eds. Satzger G, Patrício L, Zaki M, Kühl N, Hottum P. Cham: Springer. pp. 344−357 doi: 10.1007/978-3-030-00713-3_26
[15]

Radulov N. 2019. Artificial intelligence and security. Security 4.0. Security & Future 3:3−5
[16]

Nasare R, Shende A, Aparajit R, Kadukar S, Khachane P, et al. 2020. Women security safety system using artificial intelligence. International Journal for Research in Applied Science and Engineering Technology 8:579−590

doi: 10.22214/ijraset.2020.2088
[17]

Mahor V, Rawat R, Kumar A, Garg B, Pachlasiya K. 2023. IoT and artificial intelligence techniques for public safety and security. In Smart urban computing applications, eds. Jabbar MA, Tiwari S, Ortiz-Rodriguez F. 1st Edition. Denmark: River Publishers. pp. 111−126 doi: 10.1201/9781003373247
[18]

Srivastava S, Bisht A, Narayan N. 2017. Safety and security in smart cities using artificial intelligence—a review. 2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence, Noida, India, 12−13 January, 2017. USA: IEEE. pp. 130−133 doi: 10.1109/CONFLUENCE.2017.7943136
[19]

Tokody D, Albini A, Ady L, Raynai Z, Pongrácz F. 2018. Safety and security through the design of autonomous intelligent vehicle systems and intelligent infrastructure in the smart city. Interdisciplinary Description of Complex Systems 16:384−396

doi: 10.7906/indecs.16.3.11
[20]

Wang B. 2021. Safety intelligence as an essential perspective for safety management in the era of Safety 4.0: from a theoretical to a practical framework. Process Safety and Environmental Protection, 148:189−199

doi: 10.1016/j.psep.2020.10.008
[21]

Wang B, Wang Y, Yan F, Zhao W. 2022. Safety intelligence toward safety management in a big-data environment: a general model and its application in urban safety management. Safety Science 154:105840

doi: 10.1016/j.ssci.2022.105840
[22]

Yampolskiy R, Fox J. 2013. Safety engineering for artificial general intelligence. Topoi 32:217−226

doi: 10.1007/s11245-012-9128-9
[23]

Wang B, Wu C. 2019. Demystifying safety-related intelligence in safety management: some key questions answered from a theoretical perspective. Safety Science 120:932−940

doi: 10.1016/j.ssci.2019.08.030
[24]

Patriarca R, Di Gravio G, Cioponea R, Licu A. 2019. Safety intelligence: incremental proactive risk management for holistic aviation safety performance. Safety Science 118:551−567

doi: 10.1016/j.ssci.2019.05.040
[25]

Shefer O, Laktionov O, Pents V, Hlushko A, Kuchuk N. 2024. Practical principles of integrating artificial intelligence into the technology of regional security predicting. Advanced Information Systems 8:86−93

doi: 10.20998/2522-9052.2024.1.11
[26]

Gwala RS. 2025. The use of blockchain technology and artificial intelligence in cryptocurrency and medical technology: a comprehensive review. In Driving Socio-Economic Growth With AI and Blockchain. USA: IGI Global. pp. 147−184 doi: 10.4018/979-8-3693-8664-4.ch007
[27]

Wu C. 2022. Research on the basic theory of science of new disciplines. Technology and Innovation Management 43:342−350 (in Chinese)

doi: 10.14090/j.cnki.jscx.2022.0312
[28]

Wu C. 2024. Theoretical investigation on the collaborative development of the safety & security undertakings and the low-altitude economy to emerge new quality productive force. Safety & Security 45:52−61 (in Chinese)

doi: 10.19737/j.cnki.issn1002-3631.2024.11.008
[29]

Wu C. 2021. Research on basic theory of safety complexity science: laying a foundation for new highland of safety science. China Safety Science Journal 31:7−17 (in Chinese)

doi: 10.16265/j.cnki.issn1003-3033.2021.05.002
[30]

Zhao JW. 2025. Model classification and system connection of artificial intelligence science and technology ethics review system. Contemporary Law Review 39:84−96 (in Chinese)

doi: 10.3969/j.issn.1003-4781.2025.01.008
[31]

Song BZ, Qin RB. 2023. The legal regulation on the application risks of generative artificial intelligence. Journal of Shanghai University of Political Science and Law (The Rule of Law Forum) 38:108−121 (in Chinese)

doi: 10.19916/j.cnki.cn31-2011/d.20231102.004
[32]

Farahmand F. 2023. A system engineering approach to AI security and safety. Computer 56:118−122

doi: 10.1109/mc.2023.3310219
[33]

Yang X, Shu L, Liu Y, Hancke GP, Ferrag MA, et al. 2022. Physical security and safety of IoT equipment: a survey of recent advances and opportunities. IEEE Transactions on Industrial Informatics 18:4319−4330

doi: 10.1109/TII.2022.3141408
[34]

Wu C. 2025. Research on fundamental theory of macrosecurisafetyology. China Safety Science Journal 35:1−13 (in Chinese)

doi: 10.16265/j.cnki.issn1003-3033.2025.08.1814
[35]

Wu C, Huang X, Wang B. 2024. Glimpse of safety science development in China: a review of safety fundamental research and construction of six new postgraduate courses for safety majors by safety & security theory innovation and promotion Center of Central South University. Safety Science 169:106323

doi: 10.1016/j.ssci.2023.106323
[36]

Wu C. 2024. Review of fundamental theories and research prospects of emergency management science from the disciplinary perspective. Emergency Management Science and Technology 4:e024

doi: 10.48130/emst-0024-0023
[37]

Wu C, Wang B. 2023. Theory of creating new disciplines of safety and security (SS) science and essentials of 40 practical examples. Emergency Management Science and Technology 3:1−12

doi: 10.48130/EMST-2023-0002
[38]

Wang B, Wu C. 2018. Safety forecasting science: a branch of safety science in urgent need to be established. Science and Technology Management Research 38:258−266 (in Chinese)

doi: 10.3969/j.issn.1000-7695.2018.06.037
[39]

Huang X, Wang B, Wu, C. 2022. Realizing smart safety management in the era of safety 4.0: a new method towards sustainable safety. Sustainability 14:13915

doi: 10.3390/su142113915
[40]

Zhao S, Yang H, Kareck LT, Khan F, Wang Q. 2026. Data-driven fault detection and diagnosis in industrial process systems: a systematic review and perspective. Reliability Engineering & System Safety 270:112159

doi: 10.1016/j.ress.2025.112159
[41]

Chen S, Chen A. 2025. E-M-A-M emergency management methodology and application. Emergency Management Science and Technology 5:e006

doi: 10.48130/emst-0025-0004
[42]

Zheng X, Ren J, Tong X. 2025. Towards a systematic framework for the safe development of cities: resilience, intelligence, and sustainability perspectives. Emergency Management Science and Technology 5:e020

doi: 10.48130/emst-0025-0018
[43]

Wu C, Wang B, Huang L. 2023. Principles of Safety & Security Science. 2nd Edition. Beijing: China Machine Press. pp. 1−30 www.cmpedu.com/books/book/5606939.htm
[44]

Yan F, Li X, Wang B, Xie Y, Wu C. 2023. Exploring safety capacity from a risk and safety information integration perspective: connotation, dimension mining and dimensionality reduction. Heliyon 9:e21728

doi: 10.1016/j.heliyon.2023.e21728