Artificial Intelligence In Criminal Justice Decision-Making: Implications For Bail, Sentencing, And Parole
- IJLLR Journal
- May 26
- 2 min read
Asst. Prof. Shivani Khanolkar, BCT College of Law, New Panvel
1. Introduction
The establishment of a criminal justice system is essential for both the preservation of individual rights and liberties as well as the maintenance of social order. Because decisions on parole, bond, and sentencing immediately influence the extent and duration of state intrusion on a person's liberty, they are at the centre of this system. Traditionally, human judgment, judicial discretion, statutory construction, and constitutional ideas including fairness, equality, and proportionality have guided such assessments.
Recently starting to affect criminal justice processes in several countries is the introduction of artificial intelligence and algorithms. AI-based solutions are increasingly employed to assess hazards, predict future behaviour, manage large caseloads, and help judicial or administrative bodies in decision-making. Particularly in systems hampered by delays, crowded jails, and limited institutional resources, these tools offer efficiency, consistency, and data-driven objectivity.
Though India has not formally implemented total automation in criminal justice decision-making, the growing attention on digitalization, e-courts, case management systems, and predictive analytics has brought artificial intelligence into legislative and judicial debates. Committees reviewing judicial change and governance have acknowledged the possibility that technology might improve access to justice. The inclusion of artificial intelligence in choices influencing liberty raises important institutional, ethical, and constitutional questions to be resolved at the same time.
Decisions on bail, sentencing, and parole call for a full evaluation of the individual's particular circumstances, social milieu, moral responsibility, and rehabilitation potential. Lowering such complex assessments to algorithmic estimates may be hazardous because it might compromise the constitutional safeguards provided under Articles 14 and 21 of the Indian Constitution. Problems with algorithmic transparency, data bias, and a lack of explicit responsibility mechanisms further call into question the legitimacy of AI-driven decision- making in the criminal justice system.
