Published July 10, 2025 | Version v1
Journal article Open

Re-conceptualizing Section 63 of Bharatiya Sakshya Adhiniyam: Judicial Approach to Electronic Evidence in the Age of AI-Generated Content

  • 1. School of Legal Studies & Governance, Career Point University, Kota (Raj.)
  • 2. Assistant Professor, School of Legal Studies & Governance, Career Point University, Kota (Raj.)

Contributors

Researcher:

  • 1. School of Legal Studies & Governance, Career Point University, Kota (Raj.)
  • 2. Assistant Professor, School of Legal Studies & Governance, Career Point University, Kota (Raj.)

Description

Artificial intelligence technology has altered the nature of digital information, which has led to significant problems for legal systems worldwide. While Section 63 of the Bharatiya Sakshya Adhiniyam (BSA) addresses the admissibility of electronic documents with regard to copyright in India, its applicability to AI content is rather ambiguous. By examining the current status of case law on electronic evidence in a world where it is difficult to determine whether documents were captured by a human or a machine, this paper aims to reinterpret Section 63.

The study looks into two main issues: whether current standards of proof adequately address the unique challenges that AI-generated content presents, and what legal and procedural concerns exist regarding the treatment of such content within the Indian legal system, particularly in light of the role of the Indian AI interface from a system design standpoint. It argues that current legal standards for the admission of evidence are insufficient to maintain the impartiality, equity, and dependability required in situations where testimony produced by AI computers serves as evidence. In order to ensure that the provisions of Section 63 remain relevant as technology develops, the study concludes with recommendations for judicial and governmental changes that would bring evidence law into line with new developments.

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Additional details

Dates

Submitted
2025-06-25
Received
Accepted
2025-06-30
Accepted
Available
2025-07-10
Online