Amit Shah sets 3-year justice delivery target, pushes use of AI in probes
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Context
Union Home Minister Amit Shah announced a target to complete the entire criminal justice process—from FIR registration to conviction—within three years. Speaking at the 26th All India Fingerprint Conference, he emphasized integrating artificial intelligence (AI), machine learning, and scientific evidence into investigations, launching several new applications developed by the (NCRB). The initiative marks a shift from traditional force-based policing to a scientific, evidence-based approach, alongside efforts to establish evening courts and reduce case pendency in collaboration with the judiciary.
UPSC Perspectives
Governance
This development highlights crucial Governance Reforms within the criminal justice system, addressing the chronic issue of judicial pendency. The government's target of a three-year timeline for justice delivery is ambitious, given the current backlog of cases across Indian courts. The launch of , , and reflects a concerted push towards e-governance and digitalization in law enforcement. These tools aim to streamline the workflow from investigation to prosecution, reducing bureaucratic delays. Furthermore, the complete implementation of the (CCTNS) across all police stations ensures nationwide data integration. UPSC questions often focus on the effectiveness of such digital interventions in improving transparency, accountability, and the speed of service delivery in the justice sector. The proposed establishment of evening courts further underscores the urgent need for structural reforms to manage caseloads effectively.
Internal Security
The integration of technology into policing has significant implications for Internal Security and Organized Crime management. Moving from traditional policing to predictive policing—using AI and pattern analysis to pre-empt crimes and identify repeat offenders—represents a paradigm shift. The utilization of vast databases, including the (NAFIS), alongside records of narcotics offenders and human traffickers, allows for the generation of actionable intelligence. This approach is critical for dismantling complex, interstate criminal networks. However, this reliance on large-scale data collection necessitates robust cybersecurity safeguards, a point emphasized by the Home Minister. For UPSC Mains, candidates must analyze the balance between enhanced state capacity for crime control through data analytics and the potential vulnerabilities of centralizing sensitive criminal databases against cyber threats.
Polity
The push for scientific, evidence-based investigation touches upon fundamental principles of Polity, specifically the right to a fair trial and timely justice, often interpreted under of the Constitution (Right to Life and Personal Liberty). The transition towards utilizing AI and forensic science aims to reduce reliance on potentially coercive investigative methods, theoretically improving the quality of evidence presented in court. However, this raises questions about data privacy and the potential biases inherent in algorithmic or predictive policing models. The reference to recent comprehensive reforms of criminal laws—namely the introduction of the (BNS), (BNSS), and (BSA) which replaced the IPC, CrPC, and Evidence Act—provides the legislative framework for this technological integration. UPSC questions may explore the constitutional validity of predictive policing frameworks and the need for a strong legal architecture to govern the use of AI in law enforcement, ensuring it does not infringe upon civil liberties.