Abstract
Purpose: The purpose of this research is to distinguish the notion of legal, forensic and IT functioning of artificial intelligence in current criminal investigation methods.
Design/Methodology/Approach: The research methodology is based on scientific knowledge methods, predominantly the dialectical method. The article applies general scientific (dialectics, analysis and synthesis, abstraction and concretization) and specialized scientific (comparative legal, technical legal) methods.
Findings: The article analyzes the potential and opportunities of implementing AI in the criminal proceedings for collecting forensically relevant information from the digital social infrastructure. The new IT-focused strategy of criminal investigation considers artificial intelligence to be the main IT means of solving and investigating crimes. In terms of obtaining digital evidence, artificial intelligence significantly increases proving efficiency and enables a multifaceted, complex and objective approach to investigation of crime circumstances.
Originality/Value: The research results stipulate that a properly established IT-based system collecting, storing, processing, providing and using data on significant events provides preliminary investigation agencies the opportunity to obtain forensically and criminally relevant information via automated search systems capable of collecting and analyzing forensic registers, information networks databases and big data. As a conclusion, the present-day social IT infrastructure requires a new investigation strategy of criminal proving based on artificial intelligence, automated search systems and data banks. To meet this requirement, it is necessary to develop a new legal and IT system of evidence collection involving law enforcement analytical centers and specialized protected networks.
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Zaytsev, O.A., Pastukhov, P.S., Fadeeva, M.Y., Perekrestov, V.N. (2021). Artificial Intelligence as a New IT Means of Solving and Investigating Crimes. In: Popkova, E.G., Sergi, B.S. (eds) "Smart Technologies" for Society, State and Economy. ISC 2020. Lecture Notes in Networks and Systems, vol 155. Springer, Cham. https://doi.org/10.1007/978-3-030-59126-7_138
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DOI: https://doi.org/10.1007/978-3-030-59126-7_138
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