Abstract
The rapid digitization of governance, commerce, and social interaction in India has fundamentally transformed the nature of crime and criminal investigation. Cybercrime has expanded beyond isolated instances of hacking or online fraud to include complex offences such as large-scale financial fraud, identity theft, cyberstalking, ransomware attacks, and coordinated digital conspiracies operating across territorial boundaries.[1] Traditional policing mechanisms, which rely heavily on physical evidence and territorial jurisdiction, have struggled to respond effectively to crimes that are instantaneous, anonymous, and data-driven in nature .
In response to this growing challenge, Indian law enforcement agencies have increasingly adopted artificial intelligence-based tools to assist cybercrime investigation. These tools include algorithmic data analytics, predictive modelling, facial recognition systems, and automated surveillance technologies designed to process vast volumes of digital information and identify suspicious patterns. The adoption of such technologies is often justified on grounds of efficiency, prevention, and national security, particularly in the context of resource constraints and rising cybercrime caseloads.[2]
Keywords: National Security, Facial Recognition, Predictive modelling.
INTRODUCTION
However, the incorporation of artificial intelligence into criminal investigations represents a significant shift in the exercise of state power. Indian criminal jurisprudence has historically required that investigative action be based on human judgment constrained by legal standards such as reason to believe, proportionality, and procedural fairness . Algorithmic policing alters this framework by introducing machine-generated suspicion and probabilistic risk assessments, which may influence or determine investigative decisions without transparent reasoning or meaningful human deliberation.
This shift raises serious constitutional concerns. When algorithmic systems determine who is subjected to surveillance, investigation, or arrest, questions arise regarding equality before law under Article 14, freedoms guaranteed under Article 19, and the right to life and personal liberty under Article 21 of the Constitution of India Puttaswamy v. Union of India, (2017). The Supreme Court has consistently held that any state action affecting personal liberty must follow a procedure that is just, fair, and reasonable, and must not be arbitrary or disproportionate Maneka (1978).
Algorithmic policing also poses challenges to informational privacy and decisional autonomy. The recognition of privacy as a fundamental right under Article 21 has extended constitutional protection to personal data and digital footprints, thereby subjecting state surveillance practices to heightened scrutiny Puttaswamy v. Union of India, (2017). AI-driven cyber policing tools, which rely on continuous data collection, profiling, and automated inference, directly implicate these privacy concerns and demand robust legal justification.
Despite the increasing use of artificial intelligence in cybercrime investigation, India lacks a comprehensive statutory framework regulating algorithmic policing. Existing legal provisions under the Information (2000) and the Code of Criminal Procedure were enacted in a pre-algorithmic era and do not adequately address issues such as algorithmic opacity, bias, explainability, and accountability. Even recent data protection legislation provides broad exemptions to the state, thereby limiting its effectiveness as a safeguard against intrusive surveillance practices.[3]
Against this backdrop, this paper examines whether AI-driven cybercrime investigations can withstand constitutional scrutiny under Articles 14, 19, and 21 of the Constitution of India. By adopting a doctrinal and conceptual approach, the study seeks to assess whether algorithmic policing strengthens the rule of law by enhancing investigative capacity or undermines constitutional due process by diluting procedural safeguards and accountability mechanisms.
[1] Agarwal, S., and Choudhary, A. (2020). Cyber Crimes and Digital Policing in India. Eastern Book Company.
[2] Angwin, J., Larson, J., Mattu, S., and Kirchner, L. (2016). Machine Bias. ProPublica.
[3] Floridi, L., Cowls, J., Beltrametti, M., et al. (2018). AI4People—An Ethical Framework for a Good AI Society. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5