Syllabus: GS3/Science & Technology; Emerging Technologies & Security
Context
- Recent developments involving major artificial intelligence (AI) companies from the USA and China have highlighted the growing intersection between technology competition and national security.
Artificial Intelligence (AI): Strategic Competition & National Security
- AI, initially developed for civilian and commercial purposes, is increasingly viewed through the lens of strategic competition and national security.
- Major powers such as the USA, China, and Russia consider AI a critical technology that could reshape economic strength, military capability, and global influence.
- As a result, the global AI landscape is about geopolitical rivalry and security concerns, along with technological innovation.
AI as a Driver of Technological Competition
- AI has become central to global technological competition because of its wide-ranging applications in industry, finance, healthcare, governance, and defense.
- Countries investing heavily in AI aim to gain economic dominance and technological leadership.
- The USA and China are currently the two leading powers in AI development. The US maintains an advantage in advanced research, private technology companies, and semiconductor technology, while China benefits from large datasets, strong government support, and integration between industry and state policies.
AI and the National Security Dimension
- AI is increasingly seen as a strategic national security asset beyond economic competition.
- Governments are investing in AI for applications such as autonomous weapons systems, cybersecurity and cyber warfare, intelligence analysis and surveillance, military logistics and decision-making.
- According to research on AI and national security, the integration of AI into military systems could significantly enhance battlefield awareness, speed of operations, and precision targeting.
- AI plays a role in the ‘kill chain’, where algorithms can accelerate processes such as target detection, threat identification, and operational decision-making.
AI as a Dual-Use Technology
- A key challenge in AI governance is that AI is a dual-use technology, meaning it has both civilian and military applications.
- For example:
- AI used for medical diagnosis can also be adapted for military surveillance.
- AI systems designed for autonomous vehicles can also support autonomous drones and combat systems.
- Because of this dual-use nature, restricting AI development or diffusion is extremely difficult.
- AI does not rely on rare materials but on algorithms, data, and computing power, which are widely available, unlike nuclear technologies.
US–China AI Rivalry
- AI Model Distillation (Core Issue): One of the central allegations involves AI model distillation, where a weaker AI model learns from the outputs of a more advanced model.
- China’s Next Generation Artificial Intelligence Development Plan (2017) aims to make China the global leader in AI by 2030.
- It promotes strong collaboration between the government, private technology firms, and the military, often referred to as military–civil fusion.
- The United States, in response, has emphasized maintaining technological superiority and limiting China’s access to critical technologies such as advanced semiconductor chips and high-performance computing.
- The American AI lab Anthropic has called for three Chinese AI companies ie DeepSeek, MoonshotAI, and MiniMax to be treated as national security threats.
- This technological rivalry reflects broader geopolitical competition, where AI leadership is viewed as essential for both economic prosperity and military dominance.
AI Model Distillation (aka Knowledge Distillation)
- It is a machine learning technique in which a smaller or simpler AI model learns from the outputs of a larger, more powerful AI model.
- The goal is to transfer the knowledge of a complex model into a smaller model while maintaining similar performance.
Key Features
- Model Compression: Reduces the size and complexity of AI models.
- Efficiency: Enables AI systems to run on devices with limited computing power.
- Knowledge Transfer: Transfers learned patterns from large models to smaller ones.
- Cost Reduction: Lower computational requirements for training and deployment.
Risks of Militarisation of AI
- Autonomous Weapons: AI-powered autonomous weapons may operate with limited human control, raising ethical and legal questions.
- Acceleration of Warfare: AI can speed up decision-making in conflicts, potentially reducing human oversight and increasing escalation risks.
- Global Arms Race: Competition between major powers could trigger an AI arms race, similar to nuclear competition during the Cold War.
- Cyber and Information Warfare: AI can enhance cyberattacks, misinformation campaigns, and digital surveillance capabilities.
Governance and Global Regulation Challenges
- AI technologies are largely developed by private technology companies rather than governments, unlike nuclear weapons. There is currently no comprehensive international framework for regulating military AI, despite the risks.
- Effective governance requires:
- International agreements on responsible military use of AI;
- Human control over lethal decisions;
- Transparency and accountability in AI systems;
- Global cooperation to prevent misuse;
- Without such measures, AI competition could intensify geopolitical tensions and undermine global stability.
Implications For India
- For India, the AI competition among major powers has several strategic implications:
- AI will influence future warfare and defence modernization;
- India needs to strengthen domestic AI research and innovation ecosystems;
- Strategic partnerships with countries such as the U.S., Japan, and Europe can enhance technological capabilities;
- India should play an active role in shaping global AI governance frameworks;
- India’s National Strategy for Artificial Intelligence (NITI Aayog) emphasizes using AI for development while ensuring ethical and responsible use.
| Daily Mains Practice Question [Q] Artificial Intelligence is emerging both as a tool of technological competition and a strategic national security asset. Discuss with suitable examples. |
