Context:
- The Indian Army showcased a range of indigenous Artificial Intelligence (AI) solutions at the India AI Summit, highlighting their use in both military operations and civilian applications such as disaster response, education, cybersecurity, and logistics.
• The initiative reflects India’s push towards technological self-reliance, secure digital capability, and dual-use innovation.
Key Highlights:
AI Systems Displayed
- Key AI-based systems showcased included AI Examiner, SAM-UN, EKAM, and PRAKSHEPAN.
• Other tools included XFace, Nabh Drishti, AI-powered Vehicle Tracking System, Deepfake Detection Systems, AI Cyber Security Systems, and Driver Fatigue Detection Devices.
Defence and Civilian Utility
- These platforms are designed as dual-use technologies, meaning they can support both:
• Defence preparedness and operations
• Civilian governance, disaster management, and public safety
Important Platforms
- AI Examiner aims to modernize education and training frameworks within the Army.
• SAM-UN is a geospatial and AI-enabled mission planning system useful in military operations, disaster response, and smart command centres.
• EKAM is a secure, air-gapped indigenous AI cloud platform ensuring data sovereignty and safe processing of sensitive data.
• PRAKSHEPAN is an AI-driven climatology and disaster prediction system offering early warning for floods, landslides, and avalanches.
Security and Situational Awareness
- XFace supports facial recognition and identity verification.
• Deepfake detection and AI cybersecurity systems help counter synthetic media manipulation, misinformation, and cyber threats.
• Nabh Drishti improves real-time reporting and visualization, enhancing situational awareness.
Mobility and Remote Deployment
- Driver Fatigue Detection helps prevent road accidents by giving real-time drowsiness alerts.
• Portable AI-in-a-Box enables deployment in remote, disconnected, or tactical environments.
• Vehicle Tracking System strengthens fleet management and logistics optimization.
Relevant Prelims Points:
- Artificial Intelligence (AI):
• Refers to the ability of machines to perform tasks requiring human-like intelligence, such as learning, decision-making, and pattern recognition. - Data Sovereignty:
• The principle that data is governed by the laws of the country where it is generated and stored. - Deepfake:
• AI-generated or manipulated audio/video content that can falsely depict real persons or events. - Air-Gapped System:
• A computer or network physically isolated from unsecured networks such as the internet for high security. - Dual-Use Technology:
• Technology that can be used for both civilian and military purposes. - Geospatial Technology:
• Technology used for gathering, displaying, and analysing location-based data, important in mapping, surveillance, and disaster management.
Relevant Mains Points:
- The Army’s AI initiatives show how emerging technologies are becoming central to national security, disaster resilience, and governance efficiency.
- Strategic significance of indigenous AI systems:
• Reduces dependence on foreign digital platforms
• Enhances data security and operational secrecy
• Supports Atmanirbhar Bharat in defence technology
• Improves decision support systems in real time - Role in disaster management:
• AI can assist in early warning systems, terrain analysis, resource deployment, and rescue planning.
• Tools like PRAKSHEPAN and SAM-UN show convergence between defence preparedness and humanitarian response. - Internal security dimension:
• Facial recognition, vehicle tracking, deepfake detection, and AI-based cyber defence can strengthen protection against terrorism, misinformation, and hybrid warfare. - Concerns and challenges:
• Privacy concerns in facial recognition
• Risk of algorithmic bias
• Need for secure datasets and indigenous computing infrastructure
• Ethical concerns in AI-enabled surveillance - Way Forward:
• Develop a clear military AI doctrine with ethical safeguards
• Promote civil-military technology partnerships
• Strengthen indigenous semiconductor, cloud, and cybersecurity ecosystems
• Build capacity through training, testing, and interoperability standards
UPSC Relevance:
- GS Paper 3: Science and Technology, Internal Security, Disaster Management
- Useful for themes such as AI in governance, defence indigenisation, cybersecurity, and dual-use technologies.