International Journal For Multidisciplinary Research

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Artificial Intellligence in Forensic Science: Revolutionizing Criminal Investigation with Ethical Precision

Author(s) Ms. PRIYANSHI BASUDEO
Country India
Abstract The integration of Artificial Intelligence (AI) in forensic science has ushered in a new era of precision, speed, and efficiency in criminal investigations and legal processes. This abstract explores the transformative role AI plays in forensic procedures, ranging from facial recognition and crime pattern analysis to digital evidence verification and predictive policing. As technology evolves, its application in forensic science has become not just an innovation but a necessity for improving the justice delivery system.
AI-powered tools such as machine learning algorithms, natural language processing, and neural networks are now used in analysing large volumes of forensic data, automating DNA matching, reconstructing crime scenes through 3D modelling, and authenticating digital evidence in cybercrime cases. In particular, forensic linguistics and video/image enhancement technologies have greatly benefited from AI applications, resulting in faster and more reliable outputs compared to manual analysis. AI has also contributed to identifying deepfakes, voice synthesis manipulations, and fraudulent digital signatures, playing a crucial role in cyber forensics.
However, the deployment of AI in the forensic domain raises significant ethical, legal, and procedural concerns. One of the core challenges lies in algorithmic bias. AI systems, if trained on biased data sets, may result in wrongful accusations or the exclusion of vital evidence. Furthermore, questions concerning the admissibility of AI-generated evidence in Indian courts remain largely unaddressed. The Indian Evidence Act, 1872, and Code of Criminal Procedure do not yet comprehensively govern AI-generated inputs, creating a legal vacuum that must be filled with updated legislation and guidelines. Moreover, transparency in AI decision-making—often criticized as a "black box"—poses difficulties for defense lawyers and judges attempting to challenge or verify AI findings.
From a criminological perspective, AI tools allow for better crime mapping and suspect profiling, which can significantly assist in deterring crimes through strategic law enforcement interventions. In juvenile justice, AI-based behavioural analysis may help in assessing the likelihood of reoffending and determining appropriate rehabilitative measures. These applications, if governed with appropriate legal safeguards, may contribute positively to restorative justice models.
India must embrace a cautious yet proactive regulatory framework to guide the use of AI in forensics. This includes integrating ethical AI practices, ensuring data privacy under frameworks like the Digital Personal Data Protection Act, 2023, and training forensic experts and judicial officers in AI literacy. The role of the National Forensic Sciences University (NFSU) and the Bureau of Police Research and Development (BPRD) becomes pivotal in capacity building and policy recommendations.
In conclusion, Artificial Intelligence in forensic science is not just a tool—it is a transformative force capable of reshaping the criminal justice landscape. While its advantages are numerous, a failure to regulate and ethically deploy such technology could jeopardize constitutional rights, including the right to a fair trial and privacy. A multidisciplinary, legally conscious, and transparent approach must be adopted to harness the full potential of AI while preserving the foundational values of justice.
Keywords Artificial Intelligence, Forensic Science, Ethical AI, Indian Evidence Law, Criminal Justice
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-11
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