Technological advances and rising military expenditures in recent years have accelerated the development of Lethal Autonomous Weapon Systems (LAWS). Though this technology is still in its infancy, it has already transformed modern warfare. LAWS, when fully evolved, will provide means for precise and independent selection and engagement of targets without exposing soldiers to battlefield dangers. A 2025 Congressional Research Service report titled Defense Primer: U.S. Policy on LAWS classifies it as “a special class of weapon systems that use sensor suites and computer algorithms to independently identify, target and employ an onboard weapon system to engage and destroy it without manual human control.” The US Department of Defense Directive 3000.09, Autonomy in Weapon Systems (2023), defined LAWS as systems that, once activated, “can select and engage targets without further intervention by a human operator.” This concept, known as “human out of the loop” or “full autonomy,” involves target selection and engagement based on inputs from artificial intelligence (AI), big data analytics, and sensor-based identification. 

According to Data M Intelligence, the global autonomous weapons market reached USD 14.2 billion in 2024 and is expected to grow to USD 33.47 billion by 2032, with a compound annual growth rate of 11.39 percent during 2025-2032. Simultaneously, global civil society initiatives are advocating a ban on fully autonomous systems. In October 2012, Amnesty International launched the Stop Killer Robots campaign, an alliance of over 180 organizations across 65 countries, calling for an international law on autonomy in weapon systems to ensure machines are not allowed to make decisions that affect life and death. 

Concerns have arisen over unsupervised use and the potential for system errors that can cause unintended civilian casualties, escalate conflicts, and threaten global peace and security. The increasing integration of autonomous weapon systems in combat has already been highlighted by their reported use in Ukraine conflict and in Gaza. A February 2025 report by the Foundation for Political, Economic and Social Research titled Deadly Algorithms: Destructive Role of Artificial Intelligence in Gaza War revealed that Israel employed AI-based systems, Lavender and Habsora, to identify and attack human targets. The report states that Lavender can approve targets within 20 seconds, often without substantive human review. Since October 2023, the system has compiled a list of 37,000 potential individuals labelled as Hamas members without verifying their military profile.  

Since 2014, the United Nations Convention on Certain Conventional Weapons (UN CCW) has debated the regulation of LAWS. In May 2024, Arms Campaign Director Steve Goose of Human Rights Watch warned that “the world is approaching a tipping point for acting on concerns over autonomous weapons systems,” underscoring the urgency of an international legal instrument. On 2 December 2024, the UN General Assembly adopted Resolution A/RES/79/62 on LAWS by 166 votes in favor, 3 against, and 15 abstentions. The resolution marked a decisive step in acknowledging global concerns over autonomous weapon systems, affirmed the applicability of international humanitarian law (IHL) and called for further consultations in 2025. The first UNGA meeting on autonomous weapons, held on 12-13 May 2025 and attended by 96 countries, including representatives from the International Committee of the Red Cross (ICRC) and civil society, reinforced momentum to prohibit and regulate LAWS. On that occasion, UN Secretary-General António Guterres advocated for a legally binding instrument to ban LAWS by 2026, describing them as “politically unacceptable and morally repugnant.”  

Despite global concerns, progress on a legally binding treaty on LAWS remains elusive due to divergent strategic interests of major powers. The US continues to resist codification of a new binding framework, emphasizing the adequacy of national weapons review mechanisms to preserve strategic and technological flexibility. While the US maintains that it does not currently possess LAWS, senior military leaders have acknowledged that Washington may be compelled to develop them if adversaries do so. Russia has opposed any binding treaty, while China supports negotiations on the CCW and the development of norms “when conditions are ripe.” The European Union, in contrast, advocates for a legally binding international instrument, emphasizing Meaningful Human Control (MHC) and compliance with IHL. The EU’s approach seeks to differentiate between systems that incorporate human oversight and those that operate without it. 

The integration of artificial intelligence into weapon systems also presents an increasing challenge to nuclear deterrence and strategic stability. For instance, during the sidelines of the Asia-Pacific Economic Cooperation (APEC) Summit in Peru in November 2024, the then US President Joe Biden and China’s President Xi Jinping jointly pledged not to integrate AI in nuclear command-and-control systems, recognizing the catastrophic risks of automation in nuclear decision-making. However, as AI rapidly improves surveillance, missile guidance and targeting systems, it is unclear whether this restraint will hold.  

The integration of AI in nuclear forces may introduce instability into deterrence dynamics by reducing decision-making time and increasing challenges caused by algorithmic bias in early warning systems, posing the threat of false nuclear alarms. Cold War history reminds us of human judgment, central to nuclear stability, and averted catastrophes. During the Cuban Missile Crisis, the B-59 submarine incident on 27 October 1962 brought the two superpowers close to nuclear exchange when a Soviet submarine commander considered launching a nuclear-tipped torpedo under the mistaken belief that hostilities had commenced. The refusal by Vasily Arkhipov to authorize the attack prevented a potential nuclear war. Similarly, Stanislav Yevgrafovich Petrov, a lieutenant colonel in the Soviet Air Defense Forces, chose to disregard a false early-warning alert indicating an incoming US nuclear strike in 1983, preventing a global nuclear disaster. Such decision-making underscores the indispensable role of human rationality in nuclear command-and-control systems.  

As LAWS presents multifaceted threats to international peace and security, states need to consider negotiating a legally binding instrument that ensures MHC over autonomy in weapon systems. Enhancing transparency, accountability, and rigorous weapons reviews are essential to prevent destabilization and ensure that technological progress does not outpace the human element in the use of force. Confidence-building measures, such as transparency in military AI, the establishment of international verification mechanisms and a moratorium on the development and deployment of LAWS, could help mitigate future dangers. 

Jawad Ali Shah is a Research Officer at the Center for International Strategic Studies Sindh (CISSS), Pakistan. He holds a BS in International Relations from the University of Sindh, Jamshoro, Pakistan. His research areas are emerging military technologies, and South Asian nuclear deterrence and strategic stability dynamics. The views are the author’s own. 

Lethal Autonomous Weapon Systems: A New Battlefield Reality was originally published on Global Security Review.

That gap undermines American extended deterrence because Washington cannot reassure allies or deter aggressors without accounting for South Asia’s threat calculus. AI arms developments in this region stem from colonial legacies and mistrust of great power intentions, creating a volatile strategic environment.

India’s Governance Innovation in Defense AI

India’s governance model integrates civilian oversight with defense research and ensures ethical deployment of AI. The Responsible AI Certification Pilot evaluated algorithms for explainability before clearance. Its National Strategy for AI mandates ethical review boards for dual-use systems. Developers must document bias-mitigation measures and escalation pathways. Embedding accountability at design phase stabilizes deterrence signals by reducing inadvertent algorithmic behaviors.

The Evaluating Trustworthy AI (ETAI) Framework advances defense AI governance. It enforces five principles: reliability, security, transparency, fairness, privacy, and sets rigorous criteria for system assessment. Chief of Defense, Staff General Anil Chauhan, stressed resilience against adversarial attacks, highlighting the challenge of balancing effectiveness and safety. By mandating continuous validation against evolving threat scenarios, ETAI prevents mission creep and maintains operational integrity under stress.

India’s dual use by design philosophy embeds safeguards within prototypes from inception. This contrasts with reactive models that regulate AI after deployment. Civilian launch-authorization channels separate political intent from technical execution, ensuring decisions remain under human control and reinforcing credibility in crisis moments. Regular red-team exercises involving independent experts further validate system robustness and reduce risks of false positives in autonomous targeting.

Strengthening Extended Deterrence through Cooperation

US-India collaboration on AI verification can reinforce extended deterrence by aligning technical standards and testing protocols. The iCET fact sheet outlines secure information sharing and joint safety trials. Launched in January 2023, iCET has already enabled co-production of jet engines and transfer of advanced drone technologies. Building on this foundation, specialized working groups could develop common benchmarks for adversarial-resistance testing and automated anomaly detection.

A Center for Strategic and International Studies report recommends a trilateral verification cell blending American evaluation tools with India’s ethical reviews. Joint trials of autonomous air-defense algorithms would demonstrate interoperability and resolve. A shared “AI Red Flag” system would alert capitals to anomalous behaviors and reduce strategic surprise. Embedding cryptographically secure logging of decision path data ensures an immutable audit trail for post-event analysis and confidence building.

The INDUS-X initiative, launched during Prime Minister Narendra Modi’s 2023 US visit, integrates responsible AI principles into defense innovation. By aligning standards, both countries ensure AI systems enhance strategic stability rather than undermine it. Expanding INDUS-X to include scenario-based wargaming with allied partners can stress-test ethical frameworks and calibrate thresholds for human intervention under duress. This model can extend under the Quad framework, pressuring authoritarian regimes to adopt transparency measures.

Institutionalizing Global AI Arms Control

A formal arms control dialogue should adopt India’s baseline standards for ethical AI governance. The UNIDIR report calls for universal bias audits and incident-reporting obligations to prevent unintended escalation. Carnegie scholars propose a tiered certification process under a new protocol for autonomous systems within the Convention on Certain Conventional Weapons, requiring peer review of algorithms before deployment. Embedding such certification in national export-control regimes would create global incentives for adherence.

The UN General Assembly has established an Independent AI Scientific Panel and a Global Dialogue on AI Governance to issue annual assessments on risks and norms. This mechanism can evaluate military AI applications and recommend confidence-building measures. Procedural transparency would coexist with confidentiality requirements, balancing security with mutual reassurance. Regular joint workshops on risk-assessment methodologies can diffuse best practices and diffuse mistrust among major powers.

Regional Applications and Future Prospects

India’s responsible AI framework must inspire regional adoption and confidence-building measures. Pakistan and China should engage transparency initiatives to prevent dangerous asymmetries in AI capabilities. Proposed measures include joint research on AI safety, shared performance databases, and collaborative development of detection algorithms.

Successful tests of India’s hypersonic ET-LDHCM system, capable of Mach 8 and a 1,500-kilometer range, underscore the urgency of governance frameworks before fully autonomous weapons deploy. The Quad’s model of Indo-Pacific cooperation provides a template for multilateral norms on responsible AI in defense. Extending these norms to confidence-building measures such as pre-deployment notifications and automated backchannels can reduce the risk of inadvertent escalation.

Looking ahead to the United Nations General Assembly meeting on AI governance in September 2024, American policymakers can leverage India’s experience. Joint verification exercises and an ethical audit regime will establish global norms for military AI. Integrating lessons from ETAI and iCET into the assembly’s resolutions can produce enforceable standards that bind both democratic and authoritarian states. This approach will reaffirm American extended deterrence and help prevent destabilizing AI-driven arms races worldwide.

By demonstrating that ethical AI development strengthens rather than weakens deterrence credibility, India’s model provides both technical solutions and normative frameworks for managing the military applications of artificial intelligence. Sustained international cooperation on these principles is pivotal for securing strategic stability in a rapidly evolving technological landscape.

Vaibhav Chhimpa is a researcher who previously worked with the Department of Science & Technology (DST), India. Views expressed are the Author’s own.

The Artificial Intelligence (AI) Arms Race in South Asia was originally published on Global Security Review.