Artificial Intelligence in Criminalistics

Nino Gogniashvili

doi:10.52340/spectri.2026.13.01.03

Authors

Nino Gogniashvili David Aghmashenebeli University of Georgia

DOI:

https://doi.org/10.52340/spectri.2026.13.01.03

Keywords:

artificial intelligence, criminalistics, digital evidence, admissibility of evidence, legal regulation, machine learning, digital forensics

Abstract

The use of artificial intelligence in the investigation and detection of crime, as well as the legal assessment of the evidentiary value of data obtained through its application, is of significant importance. The paper examines the specific features of the formation, analysis, and use of digital traces processed through intelligent systems in criminal proceedings.

Downloads

Download data is not yet available.

Author Biography

Nino Gogniashvili, David Aghmashenebeli University of Georgia

Associate Professor

David Aghmashenebeli University of Georgia, Ivane Javakhishvili Tbilisi State University

References

1. Спиридонов М.С. Технологии искусственного интеллекта в уголовно-процессуальном доказывании. Journal of Digital Technologies and Law. 2023;1(2):481-97.

2. Spivak BL, Shepherd SM. Ethics, artificial intelligence, and risk assessment. J Am Acad Psychiatry Law 2021; 49:335–337.

3. Сактаганова И.С., Мицкая Е.В., Сактаганова А.Б. Application of Artificial Intelligence in the Administration of Justice: Prospects and Challenges. Вестник Института законодательства и право- вой информации Республики Казахстан, 2025;80(1):68-80.

4. Мансуров ГЗ. Понятие и признаки искусственного интеллекта. Право и государство: теория и практика. 2023(11 (227)):286-7.

5. Ахметьянова ЗА, Ахметьянов АР. Искусственный интеллект-объект или субъект права. Юрист. 2024(6):24-9.

6. Бакенова А.К., Бегалиев Е.Н., Кенжебеков Н.С., Байжанова А.Ж. Искусственный интеллект для обнаружения и коррекции ошибок судебной экспертизы: обзор по опыту Республики Казах- стан. Russian Journal of Forensic Medicine. 2023; 9(3):287–298.