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Artificial Intelligence Generated Child Sexual Abuse Material (CSAM): A Legal View




Parth Malhotra, LL.M., Jamia Millia Islamia, New Delhi


ABSTRACT


There has been a revolution in digital content creation, and AI has also intensified the development of AI-generated Child Sexual Abuse Material (CSAM), a type of exploitation that is not based on the actual abuse of children but perpetuates it, endorses deviant behaviour, and indirectly leads to the harm experienced by the real world. In this paper, the critical analysis of the legal, procedural, and ethical gaps in dealing with AI-generated CSAM is presented with a particular focus on Indian law and some parallels to the international law. The research highlights the weaknesses of the existing frameworks and the urgent necessity to reform with the help of judicial analyses and international views. The paper promotes the clear legislative guidelines that criminalize the AI-created CSAM, empowered cyber forensic capacities, law enforcement preparatory and co-ordinated global legal adjustment. The paper suggests a holistic approach to the fight against synthetic child sexual exploitation, which would help to preserve the legal system at the ability to protect children in the ever-changing digital environment.


Keywords: CSAM (Child Sexual Abuse Material), Artificial Intelligence (AI), Sexual Abuse, Child



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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