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Artificial Intelligence In Arbitration: Promise, Pitfalls, And The Path Forward In India




Sanjana Chowdary Kutumbaka & Sarvani Kuchimanchi, Symbiosis Law School, Hyderabad


ABSTRACT


In the era of digital transformation, machine learning (AI) has moved from the borders of the legal profession to the centre of operational effectiveness, mainly within international arbitration. AI is no longer a distant scenario. It is actively shaping the process of how the conflicts/disputes are resolved, from reviewing a document to the administration process and also predictive legal analysis. Nevertheless, as this adoption increases, important questions come into the picture: Can AI truly reshape the process of dispute resolution and assuming it can, would it be desirable? Will it simply aid human arbitrators, or will it eventually replace them as decision-makers? This paper aims to explore the problems and assurance of Artificial Intelligence being integrated into arbitration, with a major focus on India along with drawing international experience for comparative insights.



Indian Journal of Law and Legal Research

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Abbreviation: IJLLR

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ISSN: 2582-8878

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Website: www.ijllr.com

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Accessibility: Open Access

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License: Creative Commons 4.0

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Submit Manuscript: Click here

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Licensing: ​

 

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.

 

Disclaimer:

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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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