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The Use Of AI In White Collar Crime: Who’s Liable When Machines Misbehave?




Ridhikamini Basu Mallick, Jindal Global Law School (JGLS)


ABSTRACT


The integration of Artificial Intelligence (AI) into corporate environment has not only transformed how business operate but has also redefined an entire web of white-collar crimes. While AI promises predictive high-tech foreign investment, insights, efficiency and support, it also brings in algorithmic manipulation, breach of privacy, infringement of rights and regulatory misconduct.


The central aim of this paper is to deliberate how AI tools are being leveraged, intentionally or inadvertently, in facilitating white collar offences. Can a machine “intent” to commit a crime by itself? Who holds culpability when an algorithm makes a harmful and illegal decision? Where do we draw the line between the system error and criminal liability?


This paper shall try to assess how traditional frameworks of criminal law are challenged by AI’s role and will brief examine whether the existing statutes are well equipped to respond to AI-enabled offences. This paper seeks to give a brief idea into the criminal implications of artificial intelligence in corporate world and shall hope to call upon a more nuanced and effective legal framework to tackle this new-age technology.


Keywords: Artificial Intelligence, White Collar Crimes, Digital Age, Surveillance, Status quo



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

Submit Manuscript: Click here

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:

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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