Activating the Role of AI Applications in the Mechanism of Crime Monitoring : A Proposed Vision
Article content
Abstract
The current study aims to propose a new dynamic forecasting vision on the role of artificial intelligence applications in the mechanism of future crime monitoring This vision keeps pace with the changes and developments of the fourth industrial revolution affecting cognitive and scientific dimensions and information technology field, and seeks to activate the AI security applications. The study adopts the descriptive developmental approach that includes a survey, and a questionnaire is prepared as tool for recognizing the reality of activation of AI security applications in the mechanism of future crime monitoring, according to the viewpoints of Anti-Cybercrime Unit employees. The findings show that the activation level of AI applications is intermediate. According to the study findings and based on the researchers’ viewpoints, a proposed forecasting visions has been developed for activating the AI security applications used by employees at Anti-Cybercrime Unit and for measuring how such application are convenient by experts and specialists. This vision includes three dimensions; a preventive monitoring of crime, crime detection, and penalty.
The study offers some recommendations as follow:
A planning should be implemented for transforming into a smart prevention of future crimes.
A smart environment should be prepared to keep pace with the current changes.
The circumstances associated with future crime control should be improved by increasing funds and allocating a specific budget for expanding the smart infrastructures of the digital government.
Keywords
security studies, artificial intelligence (AI), crime monitoring.
Downloads
References
أولًا: المراجع العربية
البابلي، عمار ياسر (2019) الأمن السيبراني ومحاربة صناعة الإرهاب، مجلة كلية الدراسات العليا، أكاديمية الشرطة العدد 40 القاهرة، 283 – 280.
رسلان، الهاني محمد طايع (2013) تقنية بصمة المخ وشرعيتها في الإثبات الجنائي، القيادة العامة لشرطة الشارقة، مركز بحوث الشرطة، 111
الظاهري، سعيد خلفان (2018). الذكاء الاصطناعي: القوة التنافسية الجديدة، مركز استشراف المستقبل ودعم اتخاذ القرار (299).
علي، سعد رزق (2023). استخدام تقنيات الذكاء الاصطناعي وتحليل البيانات في الكشف عن الجرائم، مجلة الدراسات القانونية والاقتصادية، دورية علمية محكمة 9492 - 2356 :ISSn
العميريين، وجيه محمد (2022). الذكاء الاصطناعي في التحري والتحقيق عن الجريمة: دراسة مقارنة، مجلة الميزان للدراسات الإسلامية والقانونية، جامعة العلوم الإسلامية، عدد 3 (9).
المرغيلاني، محمد (2022). خوارزمية الكشف عن الهدف في التعرف على الجريمة باستخدام الذكاء الاصطناعي. أجهزة الحاسوب والمواد وContinua، (1)، 809-824. دوى: https://doi.org/10.32604/cmc.2022.021185.
ثانيًا: المراجع الأجنبية
Al-Marghilani, A. (2022). Target detection algorithm in crime recognition using artificial intelligence. Computers, Materials, & Continua, 71(1), 809-824. doi: https://doi.org/10.32604/cmc.2022.021185
Bellarmine,)2018(Identity using machine learning approach. 2018 2nd international conference on trends in electronics and informatics (ICOEI), icoei, pp. 107-114
Borowik et al., G. Borowik, Z.M. Wawrzyniak, P. Cichosz)2019) Time series analysis for crime forecasting. 26th international conference on systems engineering, ICSEng 2018 – Proceedings
Feng et al., M. Feng, J. Zheng, Y. Han, J. Ren, Q. Liu(2018). Big data analytics and mining for crime data analysis, visualization and prediction Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), 10989 LNAI, Springer International Publishing
Kim et al., a S. Kim, P. Joshi, P.S. Kalsi, P. Taheri(2019).Crime analysis through machine learning2018 IEEE 9th annual information technology, electronics and mobile communication conference, IEMCON 2018 (2019), pp. 415-420.
Powelson, K. (2022). The impact of artificial intelligence on anti-money laundering programs to detect and prevent financial crime (Order No. 30241947). Available from ProQuest Dissertations &Theses Global. (2754870882).Retrieved from https://www.proquest.com.
Rouhollahi, Z. (2021). Towards artificial intelligence enabled financial crime detection. Ithaca: Cornell University Library, arXiv.org. Retrieved from https://www.proquest.com/working-papers/towards-artificial-intelligence-enabled-financial/docview/2531862437/se-2.
Toppireddy et al., H.K.R. Toppireddy, B. Saini, G. Mahajan(2018).Crime prediction & monitoring framework based on spatial analysis Procedia Computer Science, 132 (Iccids) (2018), pp. 696-705
Umair, M. B., Contributed equally to this work with: Umair,Muneer Butt, Letchmunan, S., Sukumar Letchmunan Fadratul, H. H., & Tieng, W. K. (2022). Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy. PLoS One, 17(9) doi: https://doi.org/10.1371/journal.pone.0274172
Vinuesa and Sirmacek, R. Vinuesa, B. Sirmacek (2021).Interpretable deep-learning models to help achieve the Sustainable Development Goals Nature Machine Intelligence 2021,3(11)(2021),10.1038/ s4 2256-021-00414-y3 (11), 926–926.
Walker-Munro, B., & Assaad, Z. (2022). The guilty (silicon) mind: Blameworthiness and liability in human-machine teaming. Ithaca: Cornell University Library, arXiv.org. Retrieved from https://www.proquest.com/working-papers/guilty-silicon-mind-blameworthiness-liability/docview/2723656129/se-2.
Yao.etal.,S. Yao, M. Wei, L. Yan, C. Wang, X. Dong, F. Liu, Y. Xiong(2020).Prediction of crime hotspots based on spatial factors of random forest15th international conference on computer science and education, ICCSE 2020 (2020), pp. 811-815, 10.1109 /ICCSE 49874.2020.9201899./dissertations -theses/impact-artificial-intelligence-on-anti-money /docview/2754870882/se-2
Zhang, Z., Hamadi, H. A., Damiani, E., Chan, Y. Y., & Taher, F. (2022). Explainable artificial intelligence applications in cyber security: State-of-the-art research. Ithaca: Cornell University Library, arXiv.org. doi: https://doi.org/10.1109/ACCESS.2022.3204051
Article details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
You must read and accept the copyright terms and conditions(click here for copyright terms).