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THE USAGE OF ARTIFICIAL INTELLIGENCE TO ENSURE THE PRINCIPLE OF LEGALITY IN CRIMINAL PROCEEDINGS: OPPORTUNITIES AND RISKS

https://doi.org/10.52425/25187252_2024_33_101

Abstract

The principle of legality takes one of the most important places among other principles of criminal proceedings. One of the driving forces of the fourth industrial revolution, which, among other things, will determine the direction of development of the criminal legal system, will be artificial intelligence. The article describes theoretical foundations of of the principle of legality in criminal proceedings and the results of a study on the use of artificial intelligence in the field of ensuring the principle of legality in criminal proceedings. Understanding the broad scope of artificial intelligence in policing is essential for appreciating the legal restrictions imposed on AIbased law enforcement. Due to the lack of sufficient sources in modern scientific literature devoted to the complex use of AI to ensure the principle of legality as a whole, we conducted a SWOT analysis, which showed that these technologies have a number of advantages and opportunities in terms of efficiency and accuracy.

About the Authors

D. R. Nurkeeva
The Law Enforcement Academy under the Prosecutor General’s Office of the Republic of Kazakhstan
Kazakhstan

Nurkeeva Dinara Rabanievna – Senior Researcher at the Center for Coordination of Research and Study of Law Enforcement Issues of the Interdepartmental Research Institute, Master of Jurisprudence

Kosshy



M. B. Sadykov
The Law Enforcement Academy under the Prosecutor General’s Office of the Republic of Kazakhstan
Kazakhstan

Sadykov Mukhtar Beybutovich – lecturer of the Department of General Legal Disciplines of the Institute of Postgraduate Education, Master of Public Administration

Kosshy



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Review

For citations:


Nurkeeva D.R., Sadykov M.B. THE USAGE OF ARTIFICIAL INTELLIGENCE TO ENSURE THE PRINCIPLE OF LEGALITY IN CRIMINAL PROCEEDINGS: OPPORTUNITIES AND RISKS. Bulletin of the Law Enforcement Academy. 2024;(3(33)):101-108. https://doi.org/10.52425/25187252_2024_33_101

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ISSN 2518-7252 (Print)
ISSN 3079-4609 (Online)