THE LIMITS OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN FORENSIC EXAMINATION
Abstract and keywords
Abstract:
The article examines the features of the introduction of artificial intelligence technologies into forensic examination, which is due to the digital transformation of public life and the emergence of new research objects in this regard. The analysis of expert practice revealed the positive and negative sides inherent in the use of artificial intelligence technologies. This issue is most acute when selecting comparative samples, when the three-dimensional models constructed as part of an expert experiment do not reflect all the significant characteristics of the object. Examples of programs and technologies that are currently being tested for use by forensic experts are given. The errors that occur when an expert uncritically perceives the results of using artificial intelligence are indicated. Excessive trust in the results obtained through artificial intelligence technologies creates unjustified risks of drawing incorrect conclusions, which is confirmed by examples of unsuccessful experiments in differentiating synthesized speech by various hardware and software complexes. The disadvantages considered allowed us to formulate the conclusion that at this stage the use of artificial intelligence technologies is allowed only as an auxiliary tool to ensure the receipt of individual results of expert research, which should be critically compared with other intermediate conclusions.

Keywords:
FORENSIC EXAMINATION, EXPERT ERROR, DIGITALIZATION, DIGITAL OBJECT, ARTIFICIAL INTELLIGENCE TECHNOLOGIES
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References

1. Gazizov V. A., Zavarikhina E. O., Bondarenko D. M. 3D scanning and improvement of methods of habitoscopic studies in the context of digital transformation of criminalistics. In: Technical and criminalistic support for crime detection and investigation. Collection of scientific papers. Moscow: Kikot Moscow University of the Ministry of Internal Affairs of Russia; 2022: 67-77. (In Russ.).

2. Kurbanayeva E., Stepanova I., Cheprasov M. G. The importance of 3D technologies in the science of Criminalistics. Bulletin of the Kazakh-Russian International University, 92-96, 2015. (In Russ.).

3. Druki A. A. Systems for searching, highlighting and recognizing faces in images. Izvestiya of Tomsk Polytechnic University, 64-70, 2011. (In Russ.).

4. Zinin A. M. Neural networks and forensic portrait examinations. Bulletin of criminalistics, 66-69, 2020. (In Russ.).

5. Zinin A. M., Dyakonova O. G. Human thinking and artificial intelligence in the aspect of a comparative study of human appearance based on its images. Forensic expert, 2-5, 2023. (In Russ.).

6. Lebedeva A. K. Features of the forensic examination of a voice altered using computer technology // Izvestiya Tulskogo gosudarstvennogo universiteta. Economic and legal sciences, 323-328, 2016. (In Russ.).

7. Galyashina E. I. Sovremennye problemy ekspertiz cifrovyh fonogramm // Sovremennye problemy cifrovizacii kriminalisticheskoy i sudebnoekspertnoy deyatel'nosti: materialy nauch.-prakt. konf. s mezhdunar. uchastiem. Moskva: RG-Press, 2019. S. 54-61.

8. Lebedeva A. K. Problems of the production of forensic phonoscopic examination in the light of the development of digital technologies. Courier of the Kutafin Moscow State Law University (MSAL), 62-71, 2020. (In Russ.).

9. Javed A., Malik Kh. M., Malik H., Irtaza A. Voice spoofing detector: A unified anti- spoofing framework. Expert systems with applications, 116770, 2022. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0957417422002330. Accessed: 12 January 2025. (In Eng.).

10. Galyashina E. I. Modern problems of digital phonogram examinations. In: Modern problems of digitalization of criminalistic and forensic expert activity. Materials of a scientific and practical conference with international participation. Moscow: RG-Press; 2019: 54-61. (In Russ.).

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