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AI As A Legal Entity: The Next Frontier In Law




Yash Kumar Singh & Arihant Agarwal,School of Law, Christ (Deemed to be University), Bengaluru


ABSTRACT


The rapid advancement of science and technology has undeniably made life easier for people, yet it has simultaneously birthed complex dilemmas that challenge the traditional boundaries of law and ethics. One of the most significant and contentious difficulties brought up by these developments is the legal recognition of Artificial Intelligence (AI) as a person. As researchers strive to incorporate AI into human life in a seamless manner, legal professionals and policymakers are increasingly concerned about AI’s jurisprudential footing. This article examines the conceptual evolution of “legal personality” transitioning from the Latin persona to modern entities like corporations, idols, and even natural features like rivers to determine if AI can fit within these established frameworks. The study utilizes a doctrinal and comparative research methodology, analyzing scholarly viewpoints alongside the legal landscapes of the European Union, the United States, India, and South Africa. Central to this investigation is the application of traditional jurisprudential theories: the Fiction Theory, which views personhood as a state-created convenience; the Realist Theory, which demands objective agency and “will”; and the Bracket Theory, which treats personality as a procedural symbol for managing human interests.


Keywords: Artificial Intelligence, Personhood, Natural Person, Legal Person.



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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