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Algorithmic Justice In India: From Human Arbitrariness To Algorithmic Arbitrariness




Aditya Singh Rajput, BBA LLB (Hons.), Amity University, Patna, Bihar


“Technology is a useful servant but a dangerous master”

-Christian Lous Lange


ABSTRACT


The integration of Artificial Intelligence (AI) into Indian court systems shows a substantial revolution in the administration of justice. In India, AI tools such as the Supreme Court Portal for Assistance in Court Efficiency (SUPACE) and the Supreme Court Vidhik Anuvaad Software (SUVAS) attempt to increase the efficiency, decrease case pendency in court and improve accessibility. However, the rise of “Algorithmic Justice” presents fundamental constitutional and ethical questions pertaining to equality and procedural fairness, transparency, and accountability. This essay utilises a doctrinal and comparative approach to critically assess the usage of AI in the Indian court. It advances the thesis that algorithmic systems, if left uncontrolled, may grow into structures of algorithmic arbitrariness, so compromising constitutional protections. While AI has the potential to increase judicial efficiency, its implementation must be consistent with constitutional values. The essay offers a rights-based regulatory framework stressing explainability, accountability, and inclusion to guarantee that technology innovation supports, rather than compromises, the administration of justice.


Keywords: Algorithmic Justice, Artificial Intelligence in Judiciary, Constitutional Law, Algorithmic Bias, Explainable AI, Judicial Accountability, Digital Justice, Algorithmic Arbitrariness



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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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.

 

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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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