Criminalistic aspects of torture using an artificial intelligence system: a review
- Authors: Chonbayev Y.G.1, Begaliyev Y.N.1, Kuanaliyeva G.A.2, Imashev B.M.3, Avgustkhan S.A.1
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Affiliations:
- Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of Kazakhstan
- Al-Farabi Kazakh National University
- Eurasian Center for Economic and Legal Studies of Narxoz University
- Issue: Vol 10, No 1 (2024)
- Pages: 37-46
- Section: Reviews
- URL: https://ogarev-online.ru/2411-8729/article/view/254425
- DOI: https://doi.org/10.17816/fm16102
- ID: 254425
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Abstract
The article discusses the use of artificial intelligence to identify violations and deficiencies in forensic institutions and law enforcement agencies and chipping employees of criminal prosecution agencies to prevent illegal investigative methods, including torture.
The legislation of foreign countries regulating the procedures for conducting medical research and investigating cases of torture is considered.
Regarding obtaining high-quality materials for examining the scene of an accident and using their results during a forensic medical study, the authors proposed a modular kit for recording the results of an inspection of the scene (utility model patent dated August 4, 2023).
This study proposed a procedure for using artificial intelligence to improve the quality of work of criminal prosecution bodies and forensic institutions. A SWOT analysis of the use of artificial intelligence to improve the quality of law enforcement agencies and forensic institutions was conducted. Based on the results, the positive and negative aspects of the use of artificial intelligence were determined.
Based on the analysis of the national mechanism for conducting forensic research, proposals have been developed to improve the work of investigators and forensic experts.
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##article.viewOnOriginalSite##About the authors
Yerbol G. Chonbayev
Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of Kazakhstan
Author for correspondence.
Email: erbolchonbaev@yandex.ru
ORCID iD: 0000-0001-8680-156X
Kazakhstan, Koshy
Yernar N. Begaliyev
Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of Kazakhstan
Email: ernar-begaliev@mail.ru
ORCID iD: 0000-0001-6659-8576
SPIN-code: 1929-3392
Dr. Sci. (Legal), Professor
Kazakhstan, KoshyGuldana A. Kuanaliyeva
Al-Farabi Kazakh National University
Email: kuanalieva.guldanakz@mail.ru
ORCID iD: 0000-0003-4634-8363
Dr. Sci. (Legal), Professor
Kazakhstan, AlmatyBerik M. Imashev
Eurasian Center for Economic and Legal Studies of Narxoz University
Email: berikmazhitovich@gmail.com
ORCID iD: 0009-0001-8760-9913
SPIN-code: 4888-0942
Cand. Sci. (Legal)
Kazakhstan, AlmatySyrym A. Avgustkhan
Academy of Law Enforcement Agencies Under the General Prosecutors Office of the Republic of Kazakhstan
Email: syrym_077@mail.ru
ORCID iD: 0009-0004-6856-8767
SPIN-code: 1265-1521
Dr. Sci. (Legal)
Kazakhstan, KoshyReferences
- Gurochkin YD, Viter VI. Forensic medicine: A course of lectures. Moscow: Pravo i zakon; 2003. 319 р. (In Russ).
- Orakbayev AB, Kurmangali ZhK, Begaliyev YeN, et al. On the issue of using the results of a virtual autopsy in criminal investigation: A review. Russ J Forensic Med. 2023;9(2):183-192. EDN: OEERGD doi: 10.17816/fm774
- Tursunov AB, Galitsky FA, Begaliev EN, et al. Forensic and forensic aspects of childhood traumatism as a result of domestic injuries and traffic accidents: A review. Russ J Forensic Med. 2023;9(3):299-308. EDN: ORUBFH doi: 10.17816/fm12389
- Voevodkin DV, Rustemova GR, Begaliev EN, et al. Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: A review. Russ J Forensic Med. 2023;9(3):287-298. EDN: EFNJIE doi: 10.17816/fm8270
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