AI-Generated Deepfakes as Structural Gender Discrimination Rethinking Constitutional Rights in India

Authors

  • Shelli Siddhu Author
    Competing Interests

    The author declare that they have no competing financial, professional, institutional, or personal interests, relationships, or affiliations that could reasonably be perceived to have influenced the conduct of the research, the interpretation of the findings, or the preparation and publication of this manuscript.

  • Prof.(Dr.)Vaibhav Goel Bhartiya Author
    Competing Interests

    The author declare that they have no competing financial, professional, institutional, or personal interests, relationships, or affiliations that could reasonably be perceived to have influenced the conduct of the research, the interpretation of the findings, or the preparation and publication of this manuscript.

DOI:

https://doi.org/10.67874/ijlcs.66

Keywords:

Artificial Intelligence, Deepfake, Gender-based violence, Constitutional law, Privacy, India

Abstract

Artificial Intelligence (AI) has introduced new forms of harm that challenge existing legal frameworks, particularly in the context of gender-based digital violence. Among these, AI-generated deepfake pornography represents a significant threat to women’s privacy, dignity, and equality. This article contributes to existing scholarship by developing an integrated constitutional and feminist analytical framework that reconceptualises deepfake harm as a form of structural gender discrimination rather than merely a privacy violation. The study adopts a comparative doctrinal methodology, analysing constitutional principles and statutory frameworks in India alongside the European Union’s AI Act. Drawing on constitutional jurisprudence, including Justice K.S. Puttaswamy v Union of India and Shreya Singhal v Union of India, the paper examines how dignity, proportionality, and free speech doctrines apply to AI-enabled harms. The novelty of the paper lies in its shift from a state-centric to a platform-centric constitutional framework, highlighting the growing role of private digital platforms in shaping rights violations. The article identifies key regulatory gaps in Indian law, particularly in relation to synthetic media and platform accountability, and proposes a gender-sensitive governance model integrating algorithmic accountability, platform liability, and survivor-centred remedies.

Author Biographies

  • Shelli Siddhu

    Reseach Scholar, Faculty of Law, Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, India.

  • Prof.(Dr.)Vaibhav Goel Bhartiya

    Dean of Research and Development cell, Faculty of Law, Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, India.

References

Books

Barak A (2012) Proportionality: Constitutional Rights and Their Limitations. Cambridge University Press, Cambridge.

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Citron DK (2014) Hate Crimes in Cyberspace. Harvard University Press, Cambridge.

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Journal Articles

Chesney R, Citron DK (2019) Deep fakes: A looming challenge for privacy, democracy, and national security. California Law Review.

Crenshaw K (1991) Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review.

McGlynn C, Rackley E, Houghton R (2017) Beyond “revenge porn”: The continuum of image-based sexual abuse. Feminist Legal Studies.

Cases

Justice K.S. Puttaswamy v Union of India (2017) 10 SCC 1.

Shreya Singhal v Union of India (2015) 5 SCC 1.

Legislation and Regulatory Instruments

Bharatiya Nyaya Sanhita (2023), India.

Digital Personal Data Protection Act (2023), India.

European Union (2024) Artificial Intelligence Act. Available at: https://eur-lex.europa.eu.

International Organisations and Policy Documents

OECD (2024) OECD AI Principles (Updated). Available at: https://doi.org/10.1787/ai-principles-en.

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Published

2026-08-30

How to Cite

AI-Generated Deepfakes as Structural Gender Discrimination Rethinking Constitutional Rights in India. (2026). International Journal of Law, Culture & Society, 2(3). https://doi.org/10.67874/ijlcs.66

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