Role Of AI In Speedy Trial Criminal Justice System
- IJLLR Journal
- 7 days ago
- 2 min read
Amar Nath Dixit, Research Scholar, Faculty of Law, Mangalayatan University, Jabalpur, Madhya Pradesh
Dr. Pradeep Kumar Tiwari, Associate Professor, Faculty of Law, Mangalayatan University, Jabalpur, Madhya Pradesh
ABSTRACT
The article discusses how Artificial Intelligence (AI) can change the Speedy Trial Criminal Justice System. It emphasizes the potential of AI in not only reducing the large number of cases that have resulted in backlogs in the judicial system but also in maintaining the constitutional right to timely justice. Delays caused by the system which are due to excessive work and manual processes have resulted in diminishing of people's trust in the system and the granting of rights in a fair way to all. What is more, the paper examines AI's two-fold nature: on the one hand, as an extremely efficient means to quicken the investigative and administrative stages; on the other hand, as a factor that raises considerable ethical and legal issues. The investigation proceeds by explaining in detail the use of AI-powered risk assessment instruments, court management innovations, and legal research tools. More than that, the article deals with the dangers that it is biased against an algorithm, that - when the "black box" is referred to - transparency is uncertain, and that problems of due process and accountability exist, quite critically, apart from these risks, there are issues of bias in the algorithm, the "black box" metaphor for transparency, and problems of due process and accountability. To sum up, the document argues that although AI is a very important tool that paves the way for a more efficient and quick trial process, its use should be regulated by strong, transparent and law-based ethical codes so that the speed of the process does not lead to the neglect of fundamental rights and fairness.
Keywords: Artificial Intelligence (AI), Speedy Trial, Judicial Backlog, Criminal Justice System, Algorithmic Bias, Case Management, Predictive Justice, Due Process, Legal Technology.
