FORENSIC INNOVATION THROUGH DEEP TECH: A HISTORICAL AND FUTURE PERSPECTIVE

Main Article Content

Anjali Dixit, Deepa Shrivastava, Jai Shanker Prasad Srivastava, Vijay Kumar, Shubhra Malviya, Ishan Ahmad, Priyanka Singh, Aasif Hussain Ganaie, Abhishek Kumar Singh

Abstract

The intersection of forensic science and deep technologies represents a transformative frontier in both criminal investigation and scientific inquiry[1]. This paper explores the evolution of forensic methodologies across eras, highlighting how technological shifts have continually redefined investigative possibilities. From the early reliance on physical evidence and rudimentary chemical analyses to the integration of digital forensics, biometrics, and artificial intelligence, forensic science has consistently adapted to the tools available. The emergence of deep technologies—such as machine learning, blockchain, quantum computing, and advanced imaging—offers unprecedented opportunities to enhance accuracy, efficiency, and reliability in forensic practice. At the same time, these innovations raise critical questions about ethical use, data privacy, and the admissibility of technologically derived evidence in judicial processes[2]. By adopting a comparative lens, the study evaluates historical milestones alongside contemporary advancements, identifying patterns of innovation and disruption. It further considers the implications of deep tech for predictive policing, cybercrime investigation, and cross-border legal cooperation. Ultimately, the paper argues that forensic science, when synergized with deep technologies, can transcend traditional limitations, enabling investigators to reconstruct complex events with greater precision. However, this potential must be balanced with robust legal frameworks and interdisciplinary collaboration to ensure that technological progress aligns with principles of justice and human rights. The research thus positions forensic science not merely as a reactive discipline but as a proactive, evolving field shaped by the possibilities of deep technology across eras.


 


[1] Zhao, R., Zhao, X., Wang, L., & Wu, M. (2026). The evolution of forensic pathology through digital innovations: Attaining accurate identification from broad to detailed levels Digital Medicine, 12(1). https://doi.org/10.1097/DM-2025-00012


[2] Wetzel, W. The Future of Forensic Analysis: An Interview with Brooke Kammrath. Spectrosc. Suppl. 2024, 39 (s10), 13–17. Available at: https://www.spectroscopyonline.com/view/the-future-of-forensic-analysis-an-interview-with-brooke-kammrath

Article Details

How to Cite
Anjali Dixit, Deepa Shrivastava, Jai Shanker Prasad Srivastava, Vijay Kumar, Shubhra Malviya, Ishan Ahmad, Priyanka Singh, Aasif Hussain Ganaie, Abhishek Kumar Singh. (2026). FORENSIC INNOVATION THROUGH DEEP TECH: A HISTORICAL AND FUTURE PERSPECTIVE. Journal of Daoist Studies, 19(S10), 1183–1194. Retrieved from https://journalofdaoiststudies.org/index.php/journal/article/view/1968
Section
Articles