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Research Paper Volume 9 Issue 2 4460 - 4482 May 14, 2026

Deepfake Crimes and AI-Generated Sexual Exploitation in India: Need for Legal Reform

Lead author · Corresponding
Fatma Haider
Student at Amity University, Noida, Uttar Pradesh, India
Co-author
Sonakshi Varshney
Assistant Professor at Amity University, Noida, Uttar Pradesh, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.1112058
Abstract

Rapid advances in AI have given rise to a troubling new dimension of gender-based violence: the non-consensual creation of sexually explicit deepfake imagery. Freely available generative AI tools allow perpetrators to produce realistic fake sexual content featuring real individuals without their consent, with women being disproportionately victimized. This paper examines whether India’s existing legal framework, the Information Technology Act, 2000 ; the Bharatiya Nyaya Sanhita, 2023; and the Protection of Children from Sexual Offences Act, 2012 is equipped to address this harm, concluding that it is not. Through doctrinal legal analysis and a comparative study of legislative approaches in the United Kingdom, United States, South Korea, and the European Union, the paper identifies critical gaps: the absence of a consent-centered criminal provision, obscenity laws ill-suited to AI-generated material, inadequate accountability mechanisms for online platforms, and minimal procedural safeguards for those harmed. Drawing on prominent Indian cases and emerging international frameworks, the paper proposes a comprehensive reform agenda that includes a new consent-based criminal offense, accessible civil legal remedies, proactive obligations for digital platforms, and strengthened institutional capacity for enforcement.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 9, Issue 2, Page 4460 - 4482
DOI: https://doij.org/10.10000/IJLMH.1112058
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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