Capabilities and Limits of Using Artificial Intelligence in Forensic Construction and Technical Examination at its Current Development Stage
https://doi.org/10.30764/1819-2785-2026-2-26-37
Abstract
The level of professional training of a construction forensic expert and his technical equipment should be fully in line with the current level of technical progress, the results of which are successfully used by leading construction organizations. Artificial intelligence (AI), whose cognitive and creative potential has been constantly growing, is increasingly being introduced into the processes of design and building of construction facilities, allocation of material resources, construction cost determination, labor protection, staffing and placement of personnel as well as in solving many problematic issues that inevitably arise in the construction industry given its constantly growing pace of development. Construction forensic experts, who carry out time-consuming and often routin examinations on an ongoing basis, should actively include modern AI-integrated technologies in their arsenal as well as supplement it with new functions that allow them to quickly and accurately resolve issues posed by investigators and judges. The article considers technologies integrated with artificial intelligence successfully tested in practice, the capabilities of which allow them to be introduced into the process of conducting forensic construction and technical examinations. The authors also identified cognitive functions that have yet to be developed and added further to the field of artificial intelligence research. The article clearly demonstrates the possibility of applying AI in examinations most commonly used in expert practice, including complex and time-consuming ones. The prospect of using AI in all types of examinations conducted as part of the forensic construction and technical examination is outlined, which will ensure its compliance with the requirements of modern legal proceedings.
About the Authors
A. Yu. ButyrinRussian Federation
Butyrin Andrey Yurievich – Doctor of Law, Professor, Head of Department of Construction and Technical Examination of the Russian Federal Centre of Forensic Science named after professor A.R. Shlyakhov of the Ministry of Justice of the Russian Federation, Professor of the Department of Construction Organization and Real Estate Management at the Moscow State University of Civil Engineering
Moscow 101000
T. I. Fursenko
Russian Federation
Fursenko Tatyana Ivanovna – Senior Clerk of Department of Construction and Technical Examination
Moscow 101000
References
1. Shlepneva T.O., Nikishina O.V., Dedyukhina E.S. Application of Artificial Intelligence in the Construction Industry: Advantages and Possible Ways of Further Development. Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost. 2025. Vol. 15. No. 2. P. 336–346. (In Russ.). https://doi.org/10.21285/2227-2917-2025-2-336-346
2. Granova B.E., Guliakin D.V. Artificial Intelligence in Construction Industry: Present Status, Prospects for Development. Naukosfera. Technical Science. 2023. No. 4 (1). P. 172–177. (In Russ.). https://doi.org/10.5281/zenodo.7821751
3. Gusarova A.A., Mokrova N.V. Artificial Intelligence Tools for Information Modeling of Construction Objects. Topical issues of the construction industry and education – 2021. Сollection of Reports of Second National Scientific Conference (Moscow, December 8, 2021). Moscow, 2022. P. 949–956. (In Russ.).
4. Rafaelyan A.V., Anoprienko D.S. Prospects for the Use of Artificial Neural Networks in Construction. VIII International Student Construction Forum – 2023. Collection of Reports of the VIII International Student Construction Forum – 2023 (Belgorod, November 28, 2023). Belgorod, 2023. P. 151–154. (In Russ.).
5. Dozhdikov A. Between Minotaur and Theseus: General Artificial Intelligence and Digital Upgrade of a Man. Logos. 2025. Vol. 35. No. 4 (167). P. 253–273. (In Russ.).
6. Malinov S.A. Artificial Intelligence as a Simulacra of Meaning. Galaktika Media: Journal of Media Studies. 2025. Vol. 7. No. 4. P. 154–173. (In Russ.). https://doi.org/10.46539/gmd.v7i4.705
7. Kashiripoor M.M., Nikolyuk V.A. Towards Artificial Intelligence in Construction Industry. Journal of Construction and Architecture. 2025. No. 27 (5). P. 160–173. (In Russ.). https://doi.org/10.31675/1607-1859-2025-27-5-160-173
8. Kashiripoor M.M., Nikolyuk V.A. Artificial Intelligence in Construction Industry. Journal of Construction and Architecture. 2024. Vol. 26. No. 1. P. 163–178. (In Russ.). https://doi.org/10.31675/1607-1859-2024-26-1-163-178
9. Andreev A. Artificial Intelligence in Construction. Aibim. 09.04.2024. (In Russ.). https://bim-info.ru/articles/iskusstvennyy-intellekt-v-stroitelstve/?ysclid=mGiy81gea3788520490
10. Magera T.N., Bunyakin S.N. Artificial Intelligence in the Personnel Management of a Construction Company. Leadership and Management. 2025. Vol. 12. No. 2. P. 393–412. (In Russ.).
11. Slepushkin D.V., Burlov D.Yu. Artificial Intelligence and Automation of Design Construction: A Bibliometric Analysis. Vestnik MGSU. 2025. No. 20 (3). P. 440–455. (In Russ.). https://doi.org/10.22227/1997-0935.2025.3.440-455
12. Butyrin A.Yu. Forensic Construction and Technical Examination. Textbook. Moscow: Gorodets, 2024. 456 p. (In Russ.).
Review
For citations:
Butyrin A.Yu., Fursenko T.I. Capabilities and Limits of Using Artificial Intelligence in Forensic Construction and Technical Examination at its Current Development Stage. Theory and Practice of Forensic Science. 2026;21(2):26-37. (In Russ.) https://doi.org/10.30764/1819-2785-2026-2-26-37
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