Home » Lecturette Topics Notes » AI in defence technology

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

Picture of Parul sharma

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.

Share This

Share This

Related Articles

GD Topics Notes

GD TOPIC

Recent 12 SSB BENGALURU GD TOPIC Why AI is not growing at higher scale in India ? a) policy implementation challenges  b) lack

Read More »
Lecturette Topics Notes

SIR IN INDIA

1. What is SIR? SIR stands for Special Intensive Revision of Electoral Rolls. It is a process undertaken by the Election Commission

Read More »
Lecturette Topics Notes

India’s Role in G20

1. Introduction The G20, or Group of Twenty, is a forum of the world’s major advanced and emerging economies. Together, its members

Read More »