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Research Paper Volume 8 Issue 2 5045 - 5053 April 27, 2025

Labour Market Compliance and Adaptation for AI Integration in India

Lead author · Corresponding
Jayaram Iyer
LL.M. Student at School of Law, R.V. University, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.119579
Abstract

The aim of this paper is to highlight the amalgamation of AI and the current Labour market in India. This provides for a diaspora of adaptations with regards to the essential functions of society. A predominant focus is aimed at the legal reforms that are necessary due to the unprecedented introduction of AI, as it is quickly developing as a major threat across industries and unlike other nationalities, India’s labour force is extremely vast and diversified, causing a unique predicament with regards to inculcating the benefits that AI introduces to the traditional methodologies, without causing an imbalance to the employment structure or adding to any societal woes caused due to social inequality. The constant theme of the paper is on the conceptualization of AI and its impact towards the economy, the people and the legal problems arising from it. It talks about the legal identity and accountability of AI when positioned against traditional labour-induced services and if the offset of AI against human work is justifiable. The goal of this paper is to ensure that through this process of integrating AI into the economy, it is visualized with a human-centered approach with the primary objective of improving the existing functions of the market and not to oust the existing elements of the market. The paper further suggests for future developments focused towards introducing newer laws aimed purely at the development of AI.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 8, Issue 2, Page 5045 - 5053
DOI: https://doij.org/10.10000/IJLMH.119579
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
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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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