AI Use by Ukrainian Law Enforcement in Combating Crime at Critical Infrastructure Facilities

Authors

DOI:

https://doi.org/10.56294/sctconf20251318

Keywords:

artificial intelligence, critical infrastructure, criminal offense, artificial intelligence tools, law enforcement agencies, information technologies

Abstract

Introduction: The use of artificial intelligence by law enforcement agencies has been one of the most pivotal tools in recent years concerning criminal offenses, particularly those affecting critical infrastructure facilities. This study bridges a critical gap in the existing academic literature that has often overlooked local challenges and unique features faced by Ukrainian law enforcement agencies. It focuses mainly on evaluating the introduction and integration process of an artificial intelligence system in reducing crimes and improving their threat response activities at crucial infrastructure points across Ukraine. The combination of such methodologies involves qualitative interviewing, including top-ranking representatives; analysis of performance reports with the involvement of AI; and case in-depth studies including AI-related practice. Results have pointed out that AI significantly enhances the real-time threat monitoring capability of Ukrainian law enforcement, advanced detection, and predictive analytics.
This progress contributed to a significant reduction in criminal incidents at critical infrastructure facilities and allowed for more effective use of resources, quicker response times, and better operational coordination. The same study identified challenges, including data privacy concerns, regulatory gaps, and the pressing need for advanced training programs that would meet the current AI needs. The study's conclusions emphasize the innovative nature of AI integration within Ukraine’s law enforcement framework, offering actionable recommendations for addressing existing challenges. Its novelty lies in providing a focused analysis of AI's practical applications in a Ukrainian context. Future research should explore cross-country comparisons, ethical implications, and the long-term impact of AI on legal systems and operational efficiency, contributing to broader discussions on technology-driven law enforcement strategies

References

1. Molodoria A. Using AI data analytics & forecasting to build custom business intelligence software. 2024 [cited 2024 Oct 30]. Available from: https://mobidev.biz/blog/build-ai-data-analytics-forecasting-business-intelligence-software

2. Sivek SC. The Data Analyst’s Guide to AI. 2024 [cited 2024 Oct 30]. Available from: https://www.pecan.ai/blog/ai-for-data-analysts-guide/

3. Running up that hill: Artificial intelligence in Ukrainian public sector analytical study. 2024 [cited 2024 Oct 30]. Available from: https://dslua.org/wp-content/uploads/2024/05/AI-in-Ukrainian-Public-Sector_Avdieieva.pdf

4. Houbrechts M. Using AI for data analysis: The ultimate guide. Luzmo. 2024 [cited 2024 Oct 30]. Available from: https://www.luzmo.com/blog/ai-data-analysis

5. Karchevskyi MV, Radutniy OE. Artificial intelligence in Ukrainian traditional categories of criminal law. Herald of the Association of Criminal Law of Ukraine. 2023;1(19):1–25. https://doi.org/10.21564/2311-9640.2023.19.281123

6. Cherniavskyi S, Tychyna D, Pertsev R. International experience in forensic support for crime investigation. Ûridičnij Časopis Nacìonalʹnoï Akademìï Vnutrìšnìh Sprav. 2022;12(3). https://doi.org/10.56215/04221203.09

7. Baltrūnienė J. Place of artificial intelligence in the detection and investigation of crime: The present state and future perspectives. Problemy Współczesnej Kryminalistyki. 2023;26:43–58. https://doi.org/10.52097/pwk.5431

8. Nedilko Y. The practical significance of the forensic characteristics of criminal offenses under section XVI of the criminal code of Ukraine. Criminal. Forens. 2023;68:267–274. https://doi.org/10.33994/kndise.2023.68.26

9. Consulich F. Criminal law and artificial intelligence: Perspective from Italian and European experience. Eur. Criminal Law Rev. 2023;13(3):270–307. https://doi.org/10.5771/2193-5505-2023-3-270

10. Strmečki S, Pejaković-Đipić S. Data protection, privacy, and security in the context of artificial intelligence and conventional methods for law enforcement. EU and Comparative Law Iss. Challenges Ser. 2023 [cited 2024 Oct 30]. https://doi.org/10.25234/eclic/27462

11. Berdica J, Pakšić BH. Umjetna inteligencija i odabrani aspekti kaznenoga prava. Filozofska Istraživanja. 2022;42(1):87–103. https://doi.org/10.21464/fi42105

12. Pettoello-Mantovani C. Cybercrimes: An emerging category of offenses within the frame of the International Criminal Court jurisdiction. Int. J. Law Politics Stud. 2024;6(2):06–11. https://doi.org/10.32996/ijlps.2024.6.2.2

13. Raval KJ, Jadav NK, Rathod T, Tanwar S, Vimal V, Yamsani N. A survey on safeguarding critical infrastructures: Attacks, AI security, and future directions. Int. J. Crit. Infrastructure Protection. 2024;44:100647. https://doi.org/10.1016/j.ijcip.2023.100647

14. Daniel NSA, Victor NSS. Emerging trends in cybersecurity for critical infrastructure protection: A comprehensive review. Comput. Sci. IT Res. J. 2024;5(3):576–593. https://doi.org/10.51594/csitrj.v5i3.872

15. Kruhlov V, Bobos O, Hnylianska O, Rossikhin V, Kolomiiets Y. The role of using artificial intelligence for improving the public service provision and fraud prevention. Pakistan Journal of Criminology. 2024;16(2):913–928.

16. Lazor O, Lazor O, Zubar I, Zabolotnyi A, Yunyk I. The impact of digital technologies on ensuring transparency and minimising corruption risks among public authorities. Pakistan Journal of Criminology. 2024;16(2):357–374. https://doi.org/10.62271/pjc.16.2.357.374

17. Kravtsov S, Orobets K, Shyshpanova N, Vovchenko O, Berezovska-Chmil O. Progress and challenges in combating corruption in Ukraine: pathways forward. Journal of Strategic Security. 2024;17(2):28–43. https://doi.org/10.5038/1944-0472.17.2.2223

18. Laplante P, Amaba B. Artificial intelligence in critical infrastructure systems. Comput. 2021;54(10):14–24. https://doi.org/10.1109/mc.2021.3055892

19. Santoso F, Finn A. An in-depth examination of artificial intelligence-enhanced cybersecurity in robotics, autonomous systems, and critical infrastructures. IEEE Trans. Services Comput. 2023;17(3):1–18. https://doi.org/10.1109/tsc.2023.3331083

20. Lytvyn N, Andrushchenko H, Zozulya YV, Nikanorova OV, Rusal LM. Enforcement of court decisions as a social guarantee of protection of citizens rights and freedoms. Prawo i Wiez. 2022;39:80-102. https://doi.org/10.36128/priw.vi39.351

21. MiniTAB. Data analysis, statistical & process improvement tools. 2024 [cited 2024 Oct 30]. Available from: https://www.minitab.com/en-us/

22. Using NVivo. 2024 [cited 2024 Oct 30]. Available from: https://help-nv.qsrinternational.com/12/mac/v12.1.115-d3ea61/Content/concepts-strategies/using-nvivo-for-qualitative-research.htm

23. IBM SPSS Statistics. 2024 [cited 2024 Oct 30]. Available from: https://www.ibm.com/products/spss-statistics

24. OSF. The role of state and local law enforcement in critical infrastructure protection. 2024 [cited 2024 Oct 30]. https://doi.org/10.17605/OSF.IO/MWNP9

25. CISA. Critical infrastructure sectors. 2024 [cited 2024 Oct 30]. Available from: https://www.cisa.gov/topics/critical-infrastructure-security-and-resilience/critical-infrastructure-sectors

26. All you need to know about AI adoption in criminal justice. 2024 [cited 2024 Oct 30]. Available from: https://www.techuk.org/resource/all-you-need-to-know-about-ai-adoption-in-criminal-justice.html

27. PLANEKS. 2024 [cited 2024 Oct 30]. Available from: https://www.planeks.net/about-us/

28. The real-world impact of AI on cybersecurity professionals. 2024 [cited 2024 Oct 30]. Available from: https://www.isc2.org/Insights/2024/02/The-Real-World-Impact-of-AI-on-Cybersecurity-Professionals

29. AIOps platform. AI for operational efficiency: Core strategies. 2024 [cited 2024 Oct 30]. Available from: https://eyer.ai/blog/ai-for-operational-efficiency-core-strategies/

30. Sphere Partners. Enhancing operational efficiency through AI integration and data modernization. 2024 [cited 2024 Oct 30]. Available from: https://www.sphereinc.com/case-studies/enhancing-operational-efficiency-through-ai-integration-and-data-modernization/

31. Madaoui N. The impact of artificial intelligence on legal systems: Challenges and opportunities. Problems of Legality. 2024;1(164):285–303. https://doi.org/10.21564/2414-990x.164.289266

32. Kulal A, Rahiman HU, Suvarna H, Abhishek N, Dinesh S. Enhancing public service delivery efficiency: Exploring the impact of AI. J. Open Innov. Technol. Market and Complexity. 2024:100329. https://doi.org/10.1016/j.joitmc.2024.100329

33. Vitanov P. Report on artificial intelligence in criminal law and its use by the police and judicial authorities in criminal matters. Eur. Parliament. 2021 [cited 2024 Oct 30]. Available from: https://www.europarl.europa.eu/doceo/document/A-9-2021-0232_EN.html

34. Hubanova T, Shchokin R, Hubanov O, Antonov V, Slobodianiuk P, Podolyaka S. Information technologies in improving crime prevention mechanisms in the border regions of southern Ukraine. J. Inf. Technol. Manage. 2021;13:75-90. https://doi.org/10.22059/JITM.2021.80738

35. Beshay. Growing public concern about the role of artificial intelligence in daily life. Pew Res. Center. 2024 [cited 2024 Oct 30]. Available from: https://www.pewresearch.org.

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Published

2025-01-01

How to Cite

1.
Herasymenko O, Artemov V, Kravtsev O, Yunin O, Fedorchuk Y. AI Use by Ukrainian Law Enforcement in Combating Crime at Critical Infrastructure Facilities. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2025 Jan. 1 [cited 2025 Jan. 13];4:1318. Available from: https://conferencias.ageditor.ar/index.php/sctconf/article/view/1318