Regulating AI-Generated Evidence And Due Process In India
- IJLLR Journal
- Mar 16
- 2 min read
Aarushi Aggarwal, LLM, School of Law, IILM University, Greater Noida, Uttar Pradesh
ABSTRACT
Artificial Intelligence (AI) is rapidly transforming the legal landscape, particularly in the collection, analysis, and presentation of evidence in criminal and civil proceedings. From automated surveillance systems and predictive policing tools to advanced digital forensic analysis, AI technologies are increasingly being deployed to enhance efficiency, accuracy, and speed in investigative and judicial processes. However, these innovations also raise significant legal, ethical, and constitutional challenges. Key concerns include the reliability and accuracy of AI-generated evidence, potential algorithmic bias, the transparency and explainability of AI systems, and the protection of privacy and other fundamental rights guaranteed under the Constitution of India.
India’s current legal framework, primarily comprising the Information Technology Act, 2000, the Digital Personal Data Protection Act, 2023, and the newly enacted Bharatiya Sakshya Adhiniyam, 2023, provides a foundation for the recognition and use of electronic and digital evidence. Yet, these laws are not fully equipped to address the unique challenges posed by AI-generated evidence, such as algorithmic opacity, automated decision- making, and data integrity issues. Courts face the task of ensuring that AI- assisted evidence adheres to principles of due process, fairness, and accountability, while also maintaining judicial efficiency.
This study examines the admissibility, authenticity, and accountability of AI- generated evidence within the Indian judicial system. It analyses landmark Supreme Court and High Court judgments on electronic and digital evidence, including principles that govern authentication and verification, to assess their applicability to AI-driven data. Additionally, the research presents a comparative study of international practices, focusing on regulatory frameworks and judicial approaches in the European Union, California (USA), and China, highlighting best practices and lessons that could inform India’s evolving legal standards.
Finally, the study proposes legal and policy reforms to create a robust, rights- oriented framework for AI-generated evidence. It emphasizes the need for algorithmic transparency, procedural safeguards, human oversight, and standardized validation processes to ensure that AI evidence strengthens judicial processes without undermining fundamental rights or due process guarantees. This research contributes to the broader discourse on responsible AI governance, digital justice, and the modernization of India’s legal system in response to emerging technological challenges.
Keywords: AI-generated evidence, digital forensics, due process, privacy rights, Information Technology Act, AI governance, comparative law.
