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Misuse Of AI: Deepfake Images And Women: A New Form Of Cyber Victimization




Supriya Rani, Amity Law School


ABSTRACT


With the rise of AI, a growing array of new risks is emerging that disproportionately impacts women, one such being the misuse of deepfakes. Digital content can be manipulated even with sophisticated AI methods, such as machine-learning models such as Generative Adversarial Networks (GANs), to superimpose an individual's likeness onto fabricated images and videos, even if they are of a sexually explicit or misleading nature, without their awareness or consent. These practices have led to the development of new ways of cyber victimisation that pose important legal and ethical issues. In this paper, the author looks at the doctrinal aspects of the harms caused by deepfakes and assesses how the current Indian legal regime is able to meet such threats. It examines the provisions of the Information Technology Act, 2000, Bharatiya Nyaya Sanhita, 2023, Digital Personal Data Protection Act, 2023, and constitutional protections, as provided in Indian law. The study also places the Indian legal response in the wider international context by looking at the international legislative and regulatory developments in the European Union and the United States. The paper also examines some of major concerns surrounding the evidence standards, the duty of intermediate platforms and the constitutionality of privacy, dignity and personal autonomy. It recommends a suite of doctrinal and legislative proposals to bolster the legal response to cyber victimisation using deepfakes and improve the protection of victims.


Keywords: Deepfakes, Cyber Victimization, Artificial Intelligence, Women's Rights, Information Technology Law.



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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