The Role of Artificial Intelligence in Judicial Systems

The problem we tried to solve relates to the application of artificial intelligence in the legal and judicial system. Given the fact that artificial intelligence (AI) is increasingly taking precedence in various areas of human existence and work, it is an undoubted fact that the legal and judicial systems have not been left out either. It is precisely for this reason that the current state of the use of artificial intelligence in the judicial system, as well as potential new solutions, was first reviewed. In addition to the current one, we focused on the application of artificial intelligence in the legal and judicial system, especially in the domain of decision-making. In this regard, in this paper we propose the use of explainable artificial intelligence, which increasingly takes place when dealing with systems in which the precision and clarity of the parameters on the basis of which a decision is made are of great importance. Looking at the advantages of using explainable artificial intelligence in the decision-making process, one gets the impression that the application of such a model of neural networks can provide the necessary and sufficient conditions for the legal system to accept the use of artificial intelligence in decision-making in the judicial system.

Authors

Institutions

Publication Details

Journal
International Journal of Cognitive Research in Science Engineering and Education
Published
2024-12-30
DOI
https://doi.org/10.23947/2334-8496-2024-12-3-561-569
Citations
4
Primary Topic
Digital Transformation in Law
Type
article
Field-Weighted Citation Impact
3.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Artificial Intelligence in Judicial Systems

G. M. Popović, Žaklina Spalević, Srđan Milosavljević, Miloš Ilić et al.
4 citations
International Journal of Cognitive Research in Science Engineering and Education
Digital Transformation in Law
3.31
article

The Role of Artificial Intelligence in Judicial Systems

G. M. Popović, Žaklina Spalević, Srđan Milosavljević, Miloš Ilić, Dobrivoje Dubljanin
article en
4 citations

Abstract

The problem we tried to solve relates to the application of artificial intelligence in the legal and judicial system. Given the fact that artificial intelligence (AI) is increasingly taking precedence in various areas of human existence and work, it is an undoubted fact that the legal and judicial systems have not been left out either. It is precisely for this reason that the current state of the use of artificial intelligence in the judicial system, as well as potential new solutions, was first reviewed. In addition to the current one, we focused on the application of artificial intelligence in the legal and judicial system, especially in the domain of decision-making. In this regard, in this paper we propose the use of explainable artificial intelligence, which increasingly takes place when dealing with systems in which the precision and clarity of the parameters on the basis of which a decision is made are of great importance. Looking at the advantages of using explainable artificial intelligence in the decision-making process, one gets the impression that the application of such a model of neural networks can provide the necessary and sufficient conditions for the legal system to accept the use of artificial intelligence in decision-making in the judicial system.

International Journal of Cognitive Research in Science Engineering and EducationVol. 12(3)
Singidunum University (RS), University of Belgrade (RS)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Digital Transformation in Law
3.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.