The Role of Artificial Intelligence in Improving Criminal Justice System: Indian Perspective

Puneet Gawali; Reeta Sony

doi:10.17323/2713-2749.2020.3.78.96

Puneet Gawali Gujarat Forensic Sciences University
Reeta Sony Jawaharlal Nehru University

DOI: https://doi.org/10.17323/2713-2749.2020.3.78.96

Keywords: Artificial Intelligence, law enforcement, criminal justice, prediction algorithm, accuracy, machine learning, motives, cyber attacks, information technology laws

Abstract

The increasing cyber-attacks have created havoc in the criminal justice system. Understanding the purpose of crime and countering it is the crucial task for the law enforcement agencies. This research aims to present how Artificial Intelligence and Machine Learning along with Predictive Analysis using soft evidence can be used in sorting out the existing criminal record while making the use of metadata, and therefore predicting crime. Furthermore, it would surely help out the police and intelligence bodies to smartly investigate the cases by referring to the database and thus help the society in curbing the crime by quicker and more effective investigation processes. It would also assist the analyst in tracking the activities and associations of various criminal elements through their recent activities, by extracting the particular details from the documents or records. Prediction of the crime can be understood through this research. The present study reflects the accuracy level of threat from 28 states of India. By researching on this topic, it becomes evident that if proper data is fed to this model, the chances of prediction are higher and more accurate. The study also tried to find out the psychosocial perspectives of the crime and what would be the reason of individual indulges in such crime.

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Author Biographies

Puneet Gawali, Gujarat Forensic Sciences University

M.S. in Digital Forensics and Information Security

Reeta Sony, Jawaharlal Nehru University

Assistant Professor

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