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Chronicle Of Punishing The ‘Mal-Fiction’ Behind The Fictitious Entity: From Evolution To Future Of Corporate Criminal Liability




Yashita Parekh, Mahindra University


ABSTRACT


At the intersection of corporate criminal liability and criminal law, there is a tension between the requirement of mens rea (guilty mind) and the reality that corporations do not commit crimes (lack mens rea) on their own. This article traces the genealogy of corporate criminal liability through the United Kingdom, United States, India and Australia since the notion of corporations being incapable of committing crimes, societas delinquere non potest, through the identification doctrine to the Standard Chartered and Iridium doctrine in India. It also highlights that through vicarious liability, the identification doctrine, aggregation theory, and corporate culture theory have been, to varying degrees of success, trying to ascribe corporate criminal liability to an artificial person. The article details several continuing fault lines in this area, i.e., the difficulty in obtaining evidence showing mens rea, deferred prosecution agreements that provide convenience at the expense of accountability, and differing jurisdictions. The conclusion spotlights that artificial intelligence is creating a paradigm shift from punitive intent to preventing failure of system architecture and will result in the Hybrid Failure to Prevent Model being the next evolutionary phase of the doctrine of corporate criminal liability.



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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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.

 

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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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