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AI-Generated Evidence In Matrimonial Disputes: Deepfake Videos As 'Proof' Of Infidelity Or Abuse




Ishika, School of Legal Studies, Babu Banarasi Das University


ABSTRACT


Matrimonial disputes in India rely on an evidentiary framework built to answer where a digital record came from, not whether its content is true. Section 65B of the Indian Evidence Act, 1872, carried forward as Section 63 of the Bharatiya Sakshya Adhiniyam, 2023, requires only a certificate confirming the device and its proper functioning. This distinction has turned critical with the arrival of generative video and audio tools, since a deepfake can clear every certification requirement while showing an event that never happened. Family courts face particular exposure here, because claims of infidelity and abuse are already hard to establish through conventional evidence, and this difficulty gives a determined spouse strong reason to fabricate convincing footage. Incidents already reported from the United States and Poland show fabricated recordings submitted in custody and divorce matters, in one case leading to a no-contact order before forensic analysis proved the recording synthetic. A related danger, described in scholarship as the liar's dividend, lets a party confronted with genuine incriminating footage simply call it fake, pushing the burden of proof onto whichever side cannot afford forensic verification. This paper traces that gap between admissibility and truth, and argues that routine forensic scrutiny and judicial training are needed to close it.


Keywords: deepfake evidence; matrimonial disputes; electronic evidence admissibility; Section 65B, Indian Evidence Act; Bharatiya Sakshya Adhiniyam, 2023; digital forensics; liar's dividend; family courts; synthetic media; custody and divorce litigation.



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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