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Article Vol. 3 No. 6 (2020) PP. 1215 - 1224

Blending Machine Intelligence with Natural Intelligence: Artificial Intelligence and Law

Lead author · Corresponding
Parth Lalit Sagdeo
Rashtrasant Tukadoji Maharaj Nagpur University’s Dr. Babasaheb Ambedkar College of Law, Nagpur, India
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Abstract

The basic question is that a machine, can it think or feel like a human? The digital world comprising of Artificial Intelligence or machine learning is taking over humans and even directing their values and behaviour to certain changes. AI is a science and a set of computational technologies that are inspired by the way people use their nervous systems to sense, learn, reason, and take action. Various sectors of the world have been benefitted and are urging towards the need of having fully automated systems in all the sectors. However, there is an apprehension that this initiative can lead to a disastrous result as the data fed to the system may be used for harmful things and there is no guarantee as to, the data will be stolen like nothing can be given out of a human mind unless the human wants it to share. In this scenario, it has become a fundamental concern that every requisite innovation is socially preferably and justifiable. The most important and relevant debate going on is on Artificial Intelligence and Law going hand in hand, the challenges that will be faced by the legislators, courts, judges, lawyers, and even the layman are discussed in this manuscript. This manuscript is dedicated to an in-depth analysis of the challenges and impact of Artificial Intelligence.​w

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International Journal of Law Management and Humanities, Volume 3, Issue 6, Page 1215 - 1224
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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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