Examination of the Operational Capacities and Challenges of Integrating Artificial Intelligence Technology into Different Stages of Criminal Proceedings

Abstract

Artificial intelligence (AI) technology has attracted considerable attention in judicial and legal domains in recent years. This technology possesses the potential to accelerate judicial processes and enhance accuracy within criminal proceedings. The present study was conducted with the aim of examining the operational capacities and identifying the challenges associated with integrating artificial intelligence across different stages of criminal adjudication. The research adopts a descriptive–analytical method and, through the review of scientific, judicial, and experiential sources, analyzes the opportunities and limitations related to the application of artificial intelligence in criminal justice processes. The findings indicate that artificial intelligence can play an effective role in data analysis, predictive assessment, and facilitating decision-making by judges and attorneys. However, significant challenges remain, including concerns related to privacy protection, data security, the risk of algorithmic errors, and public as well as judicial acceptance of decisions influenced by automated systems. Furthermore, in complex and sensitive cases, the role of human judges remains irreplaceable, and continuous human oversight over artificial intelligence systems is essential. Artificial intelligence may therefore be employed as an assistive tool within criminal proceedings, yet the complete replacement of human judicial reasoning is presently infeasible. Successful integration of this technology requires an appropriate legal framework, sustained human supervision, and specialized user training.