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Research Paper Volume 8 Issue 6 812 - 824 December 30, 2025

Role of Artificial Intelligence in Developing Criminal Justice System in India: An Analytical & Legal Framework

Lead author · Corresponding
Dr. Seema Goyal
Assistant Professor at IIMT University, Ghaziabad, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1111123
Abstract

The conjunction of Artificial Intelligence (AI) and the criminal justice system depict once- in-a-lifespan expectation to modify and transfigure how justice is delivered in our society. Artificial intelligence has the possibilities and implicit aftermath of innate biases, enhance and upgrade resource allocation, and promote decision- making processes. However, while we embrace AI's evolutionary and extraordinary power & ability, we must go ahead with prudence, assuring that humane philosophy, virtuous elements, clarity, obviousness, and accountability drive its adoption. The mutual interaction between humans and AI has the capability to establish a fair, efficient, and just criminal justice system. We can reduce prejudices that have plagued the criminal justice system for few decades by exploiting and manipulating AI's logical competence. Personalized & intuitive judgements influenced by race, gender, or socioeconomic factors can be weaken by objective data-driven decision-making. Human oversight should continue to be an important part of the decision-making process, ensuring that AI algorithms are constantly examined, evaluated, and held responsible. Collaboration among AI experts, legal professionals, and policymakers is critical for striking a careful balance between the benefits of AI and the protection of human rights and due process. To fully realize AI's promise in the criminal justice system, we must be proactive in its growth, deployment, and regulation.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 6, Page 812 - 824
DOI: https://doij.org/10.10000/IJLMH.1111123
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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