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Research Paper Volume 4 Issue 3 1259 - 1267 May 17, 2021

Constitutionality and the Morality behind Implementation of AI technology

Lead author · Corresponding
Arjun Badola
student at Jindal Global Law School, India.
Co-author
Shriram Raghav Rishi
student at Jindal Global Law School, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.11612
Abstract

Technological advancement into the fields of artificial intelligence and it’s intersectionality with vehicles has led to a rapid emergence in the development of autonomous vehicles. The law must be conscious in matching step with these developments as the public rollout of this technology starts to materialise. This paper attempts to take cognizance of the primary legal challenges that the Indian state faces when dealing with a new legal object such as self-driven vehicles. Which level of government holds jurisdiction over it? How does the state deal with the privacy violations? What if machine learning leads to a replication of the prevalent discriminatory structures that plague the country? Not only are these questions themselves relevant in the current reality, but there is an urgent need to find their answers and create laws in dealing with the issues that have emerged with this technological development so as to avoid letting these problems grow exponentially to a point where finding solutions becomes difficult, as this paper intends to show with instances from industries internationally. It demands Indian law to be proactive and act in wake of a technological renaissance, rather than react to it when it has already passed them by.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 4, Issue 3, Page 1259 - 1267
DOI: https://doij.org/10.10000/IJLMH.11612
Creative Commons
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
Disclaimer
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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