The use of artificial intelligence to gather and analyse evidence
https://doi.org/10.31429/20785836-13-4-55-63
Abstract
This article explores existing approaches to the issue of applying artificial intelligence to evidence collection and analysis. Problems associated with the definition of the limit and requirements for the use of artificial intelligence systems in the work of investigation with the evidence are solved. The methodological principles of their systematization and classification for determining the prospects of application of artificial intelligence for the collection and analysis of evidence are revealed.
Methods: The work is based on the requirements and principles of system analysis, namely: objectivity, comprehensiveness, completeness of the study. The main method of research is classification, which assumes the coverage of all objects of the classification division and the justification of objective grounds for their gradation into types.
Results: The general requirements for the use of artificial intelligence technology to make decisions that significantly affect people's lives are noted as a starting point. The differences in the necessary requirements for systems to collect and analyse evidence have been proven. It is recognised that one of the key challenges remains the transparency of intelligent decisions and recommendations. This is particularly the case with deep neural network machine learning solutions. Machine learning models are often very complex and therefore not directly verifiable by humans. In order to understand and make them transparent, special tools for interpreting and analysing results must be provided. The authors point out in particular that the results of opaque artificial intelligence systems must be used with great care in gathering and analysing evidence, as the system is not as predictable as traditional computer programs.
About the Authors
R. I. Dremliuga
FGAOU VO "Far Eastern Federal University"
Russian Federation
Russian Federation
Dremliuga Roman Igorevich, Cand. of Sci. (Law), Deputy Director of the Law School for Development, Head of the Artificial Intelligence and Big Data Master Program, Institute of Mathematics and Computer Technology
Author ID: 56622488500
Web of Science Researcher ID U-9979-2019
Ayaks 10, p. Russkiy, Vladivostok, Primorsky Krai, 690922
A. I. Korobeev
FGAOU VO "Far Eastern Federal University"
Russian Federation
Russian Federation
Korobeev Alexander Ivanovich Dr. of Sci. (Law), Head of the Department of Criminal Law and Criminology of the Law School
Author ID: 55537246800
Ayaks 10, p. Russkiy, Vladivostok, Primorsky Krai, 690922
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Review
For citations:
Dremliuga R.I., Korobeev A.I. The use of artificial intelligence to gather and analyse evidence. Legal Bulletin of the Kuban State University. 2021;(4):55-63. (In Russ.) https://doi.org/10.31429/20785836-13-4-55-63
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