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Technological Crossroads Of GST: How To Get The Balance Right




Akriti Sharma, LL.M. (Taxation Law), Jindal Global Law School, Sonipat


ABSTRACT


A major part of how people live today and carry out their businesses is dependent on the digital economy. With the rapid growth of the digital economy, the way goods and services are produced, or brought or sold, and how businesses are carried out globally are transforming. As India has one of the largest and fastest-growing digital markets in the world, it is important to understand how technology is playing an important role in shaping the taxation system today. The Goods and Services Tax (GST) system was introduced in India to make the indirect taxation administrative system at par with the changing nature of taxation system in this digital age. The taxation industry is also changing significantly, and machine learning (ML) and artificial intelligence (AI) are becoming more and more crucial in expediting compliance procedures.


The present paper aims to address the legal and technological framework of GST and attempts to highlight a significant gap that exists between the intended goals and objectives of GST and the actual experience of the taxpayers in complying with the GST laws. It also aims to analyze a survey that was conducted in order to understand the perception of the people towards the GST administration system and the integration of AI in the GST framework.


Keywords: Technological Framework, Digital Economy, Artificial Intelligence, Goods and Services Tax, Goods and Services Tax Network, Administration



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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