INNOVATIONS IN LAW ENFORCEMENT EDUCATION: THE IMPACT OF ARTIFICIAL INTELLIGENCE TOOLS
DOI:
https://doi.org/10.32782/2078-3566-2024-4-27Keywords:
AI tools, law enforcement, specialized training, AI policingAbstract
Specialized education for law enforcement is a critically important component of effective policing. It equips officers with the knowledge, skills, and mindset necessary to address complex situations, protect communities, and uphold the law. Integrating artificial intelligence (AI) tools into specialized law enforcement education provides professionals with the skills to utilize modern technologies, fostering a more effective approach to crime prevention and public safety. Investment in specialized training ensures that officers are well-prepared to meet the challenges of modern policing. Investments in artificial intelligence (AI) ultimately lead to safer communities and a more just society. The article examines AI technologies for modernizing specialized law enforcement education, including both classroom-based, personalized learning and self-study, as well as their subsequent application in professional activities. Particular attention is given to the importance of specialized training for law enforcement professionals. The role of AI technologies and tools in modernizing education for Law Enforcement is emphasized as well. The paper analyses the ways AI can be used to improve special training of would be policemen. The paper explores AI perspectives and addresses risks and challenges associated with implementing AI technologies and tools in special law enforcement training. The present paper reflects the authors’ views on future directions for AI in education, particularly in law enforcement sphere suggesting possibilities and risks of AI in law enforcement professional training.
References
Krasnopolʹsʹkyy, V., Pakhomova, T., & Kurylova, Yu. (2023). Navchalʹnyy potentsial shtuchnoho intelektu dlya orhanizatsiyi samostiynoyi roboty studentiv u protsesi vyvchennya inozemnoyi movy [The educational potential of artificial intelligence for organizing independent work of students in the process of learning a foreign language]. Aktualʹni pytannya u suchasniy nautsi. № 7(13), pp. 587-599. [in Ukr.].
Perspektyvy ta mezhi vykorystannya shtuchnoho intelektu v kryminalʹnomu protsesi [Prospects and limits of using artificial intelligence in criminal proceedings]. Tsentr Dnistryansʹkoho, Fama Agency. 2024. https://dc.org.ua/uploads/material/ai.pdf?f, p. 13. [in Ukr.].
Savchenko, A. Systema pidhotovky politseysʹkykh u SShA [The system of training police officers in the USA]. Natsionalʹna hromadsʹka platforma «Reformuyemo MVS: prozoristʹ ta vidpovidalʹnistʹ». Retrieved from https://archive.khpg.org/police-reform/articles/sistema_pidgotovki_ policejskih_u_ssha. [in Ukr.].
Chernenko, A.P. (2016). Yevropeysʹkyy dosvid pidhotovky politseysʹkykh ta mozhlyvistʹ yoho vykorystannya v Ukrayiny [European experience in training police officers and the possibility of its use in Ukraine]. Svitovyy dosvid pidhotovky kadriv politsiyi ta yoho vprovadzhennya v Ukrayini : materialy Mizhnar. nauk.-prakt. konf. (m. Dnipropetrovsʹk, 17 ber. 2016 r.). Dnipropetrovsʹk : Dniprop. derzh. un-t vnutr. sprav, pp. 66–69. [in Ukr.].
Yarmaki, Kh.P., & Yarmaki, V.Kh. (2022). Profesiyna pidhotovka personalu politsiyi v Bavariyi [Professional training of police personnel in Bavaria]. Pivdennoukrayinsʹkyy pravnychyy chasopys. № 3, pp. 248-255. DOI: https://doi.org/10.32850/sulj.2022.3.40. [in Ukr.].
Anning S., & Goldberg Z. (2022). Assessing the Ethical Implications of Artificial Intelligence in Policing. Proceedings of the 14th ACM Web Science Conference (Barcelona, Spain, June 26-29, P. 464–465. DOI: https://doi.org/10.1145/3501247.3539506.
Apostolakis, K.C., Dimitriou, N., Margetis, G. et al. (2022). DARLENE – Improving Situational Awareness of European Law Enforcement Agents Through a Combination of Augmented Reality and Artificial Intelligence Solutions. Artificial Intelligence and the Social Sciences and Humanities.. Jan 21, pp. 1–87. DOI: 10.12688/openreseurope.13715.2. eCollection 2021.
Berk, R.A. (2021). Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology. Issue 4, pp. 209–237. DOI: gssor9..cnh-nqf.0/-0035.‘mmtqdu,bqhlhmnk,/4041/, /01231.
De Cubber, G.D., Doroftei, D., Rudin, K. et al. (2017). Introduction to the Use of Robotic Tools for Search and Rescue. Search and Rescue Robotics – From Theory to Practice. August. DOI: 10.5772/intechopen.69489.
Korhonen, T., Heino, O., & Laine, T. H. (2021). Ambidextrous Utilisation of Artificial Intelligence in Policing: A Conceptual Framework. Hallinnon Tutkimus.. Issue 40 (4). P. 264–275. DOI: 10.37450/ht.107860.
Lee, C.E., Son, J.H., Park, H.S. et al. (2021). Technical Trends of AI Military Staff to Support Decision-making of Commanders. Electronics and Telecommunications Trends. Issue 36 (1), pp. 89–98. DOI: 10.22648/ETRI.2021.J.
Nikitina, I.P., & Ishchenko, T.V. (2023). Smart-Systems in STEM Education. Information and Communication Technologies in Education, Research, and Industrial Applications : Proceedings of 18th International Conference (Ivano-Frankivsk, Ukraine, September 18–22, 2023). Cham: Springer Nature Switzerland, pp. 325-335. DOI: 10.1007/978-3-031-48325-7_25.
Polyezhayev, Y., Maksymova, A., Tytar, O., Kulichenko, A., & Rukolyanska, N. (2024). Ethnolinguistics as a Tool for Studying the Cultural Heritage of the World’s Peoples. Forum for Linguistic Studies. Vol. 06. Issue 05, pp. 287–302. Retrieved from https://journals.bilpubgroup.com/index.php/fls/article/view/6830.
Striltsiv, O.M., & Fedorenko, O.A. (2022) Problems of Legal Regulation of the Use of Artificial Intelligence Technologies by the National Police of Ukraine. Scientific Journal of the National Academy of Internal Affairs. Vol. 27. No. 1, pp. 30–39. DOI: 10.56215/0122271.30.
