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AI in defence technology

Introduction:

Artificial Intelligence (AI) refers to machines performing tasks that normally require human intelligence, such as learning, reasoning, and decision-making. In defence, AI is transforming warfare from manpower-intensive to technology-driven and information-centric warfare, where speed, precision, and data dominance are key.

Current Scenario:

Globally, AI has become a core component of modern military strategy:

 • Autonomous weapons systems like drones, loitering munitions (e.g., seen in Ukraine conflict)

 • Swarm technology, where multiple drones coordinate attacks

 • AI in intelligence gathering, satellite imagery analysis, facial recognition

 • Predictive maintenance of military equipment

 • Cyber warfare and electronic warfare systems

In India:

 • Defence AI Council (DAIC) and Defence AI Project Agency (DAIPA)

 • iDEX initiative promoting startups

 • AI integration in border surveillance, drone systems, and logistics

Challenges & Concerns 

 1. Ethical and Moral Dilemma:

 • Lethal Autonomous Weapon Systems (LAWS) can take life-and-death decisions without human intervention

 • Accountability issue: Who is responsible if AI makes a wrong decision?

 2. Lack of Human Judgment:

 • AI lacks emotions, intuition, and context understanding

 • Battlefield situations often require ethical reasoning, not just data processing

 3. Cybersecurity Risks:

 • AI systems are vulnerable to hacking, data poisoning, and adversarial attacks

 • Enemy can manipulate AI decisions → turning your own system against you

 4. Data Dependency & Bias:

 • AI depends on large datasets; biased or incomplete data can lead to wrong targeting or flawed analysis

 5. High Cost and Resource Intensive:

 • Requires advanced infrastructure, computing power, and skilled workforce

 • Developing countries may lag behind → widening defence gap

 6. Technological Dependence:

 • Over-reliance on AI can reduce human skills and decision-making ability

 • System failure in critical situations can be disastrous

 7. AI Arms Race & Global Instability:

 • Nations competing for AI supremacy → similar to nuclear arms race

 • Can lower the threshold for war due to reduced human risk

 8. Legal and Regulatory Gaps:

 • No clear international laws governing AI warfare

 • Geneva Conventions are not fully equipped for autonomous weapons

 9. Unpredictability of AI Systems:

 • AI may behave unexpectedly in complex battlefield scenarios

 • Lack of transparency (“black box problem”) makes decisions hard to interpret

 10. Job Displacement in Armed Forces:

 • Automation may reduce the role of soldiers in certain operations

 • Raises concerns about restructuring military roles

Way Forward:

 • Ensure Human-in-the-Loop for critical combat decisions

 • Develop robust cybersecurity frameworks

 • Promote indigenous AI development (Atmanirbhar Bharat)

 • Establish global regulations and ethical standards

 • Invest in training and upskilling defence personnel

 • Encourage civil-military collaboration and startups

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Parul sharma

I am currently pursuing my Master’s in Computer Science after completing my graduation. For the past two years, I have been preparing for competitive defense examinations such as AFCAT and CDS, which has strengthened my discipline and analytical thinking.

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