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Beyond The Cell: A Comparative Study Of AI- Managed House Arrest As A Solution To The Pre-Trial Crisis In India And The USA

 



Riya Mann, LL.M, Symbiosis Law School, Pune, Symbiosis International (Deemed University) Pune, Maharashtra, India

Dr. Atmaram Shelke, Professor of Law, Symbiosis Law School, Pune, Symbiosis International (Deemed University) Pune, Maharashtra, India.


ABSTRACT


As of 2026, traditional pre-trial detention has reached a breaking point, leading to shadow sentencing where the legally innocent endure punitive conditions due to judicial backlogs and a lack of effective custodial alternatives. This article explores the critical global crisis of prison overcrowding and the systemic erosion of the presumption of innocence affecting under-trial populations in India and the United States by examining the structural and legislative divergence between the United States and India regarding the implementation of house arrest (home confinement). While the US has a codified, multi-billion- dollar infrastructure for home confinement, India is currently treating house arrest as an extraordinary remedy rather than a standard legal tool.


Further, by conducting a comparative analysis of India’s Bharatiya Nagarik Suraksha Sanhita (BNSS)3 and US Pre-trial Services, the study identifies how Artificial Intelligence (AI) can bridge the trust gap that currently hinders judicial reliance on home confinement. The article details the mechanics of Algorithmic Triage, utilizing biometric verification, dynamic geofencing, and predictive behavior analytics to ensure public safety while preserving the socio-economic stability of the accused. Finally, the research addresses the ethical hurdles of algorithmic bias and the digital divide, recommending a Rights-Based Framework that mandates transparency, human oversight, and state-funded monitoring to prevent a new era of digital inequity.


Keywords: Under-trial Prisoners, House Arrest, Artificial Intelligence (AI), Prison Overcrowding, Presumption of Innocence, Algorithmic Triage, Electronic Monitoring, Bharatiya Nagarik Suraksha Sanhita (BNSS)



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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