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.

This digital divide is not just about access to technology but also about the ability to harness AI’s potential for economic, social, and global political empowerment. The implications of the AI divide are leading to a tech race that impact geopolitical power dynamics, exacerbating competition major powers like the US, China, France, and India. Depending on how the race ends, it could swing the balance of power in a negative direction.

AI Paris Summit

The recent AI Action Summit held in Paris emerged as a pivotal event that highlights both the opportunities and challenges associated with this evolving AI tech race. This summit serves as a beacon of innovation, encouraging France and India to collaborate more closely, while also exposing the complex interplay of international reactions, particularly from major powers like the United States, United Kingdom (UK), and China.

The summit focused on expanding AI’s boundaries while respecting environmental and ethical obligations. France’s President Emmanuel Macron reaffirmed his nation’s commitment to AI innovation, while maintaining high regulatory standards that draw parallels to Notre Dame Cathedral’s restoration. Such a strategy will likely accelerate AI ventures and foster innovation.

However, the regulation proposed was also a noose around the neck of the summit’s emphasis—deregulation. It is worth considering whether drastic deregulation will lead to genuine advances or the weakening of certain crucial safety nets as the world grapples with how to handle ever expanding data and the fragmentation that result from the intersection of geopolitical interests and the private ownership of data and capability. The US and China approach the issue differently than Europe, whose adoption of the AI Act (2023) will see the first comprehensive AI regulation in the world.

Many wondered how agentic AI will impact the balance of power. Whether AI will have a net positive or negative effect is uncertain. The rate at which agentic AI is developed and adopted in the three main economic blocs of China, Europe, and the United States will determine much.

India-France AI Alliance

India and France are forming a partnership to leverage AI’s full potential globally, sharing knowledge, resources, and best practices to create a robust framework for AI initiatives and global dialogue. During the summit, leaders from both countries addressed how their alliance could facilitate joint ventures, research collaborations, and talent exchange programs. Prime Minister Narendra Modi and President Macron foresaw great potential for future cooperation in 2019 when they endorsed the Indo-French Roadmap on Cybersecurity and Digital Technology. India and France, founding members of the Global Partnership on Artificial Intelligence, aim to develop a safe, open, secure, and ethical AI for human development and global commons.

Global Reactions

As the world watches the developments in Paris, reactions from other global powers, notably China and the United States, added another layer of complexity to the conversation around AI regulation and collaboration. In recent years, both states have invested heavily in AI research and development, seeing it as critical to their national security and economic competitiveness.

China’s approach to AI governance contrasts significantly with that of France and India. While the Chinese government prioritizes rapid innovation with minimal regulatory oversight, this led to concerns about privacy, surveillance, and ethical implications. The US, on the other hand, grapples with debates around data privacy, corporate responsibility, and the potential for AI misuse. As a result, the responses from these two states illustrate differing philosophies about how best to harness AI’s potential while safeguarding public interests.

The US and UK declined to sign a declaration on “inclusive and sustainable” artificial intelligence at the Paris summit, in a blow to hopes for a concerted approach to developing and regulating the technology. The document was backed by 60 other signatories on February 11, 2025, including France, China, India, Japan, Australia, and Canada.

The reactions from the relevant stakeholders highlight the urgent need for international cooperation and dialogue. As AI transcends borders, creating harmonized standards and frameworks could mitigate risks associated with its deployment.

Opportunities and Challenges Ahead

The summit concluded by emphasizing the need for proactive state engagement in AI regulation, prioritizing innovation while protecting individual rights and societal values. This, participants believed, would allow the world to fully capitalize on AI’s benefits.

As the world grapples with the realities of increasingly AI-driven technology, the voices of diverse stakeholders, including technologists, ethicists, policymakers, and civil society must be heard in shaping the future of AI. Under the flag of the AI Paris Summit, the India-France AI alliance is entering into a new and more unpredictable phase. By defying red tape and cultivating a spirit of cooperation, states are setting the pace for unlocking unprecedented opportunities while highlighting the inherent challenges of this transformative technology.

Huma Rehman is a project consultant, consultant, and defense and foreign affairs analyst. She can be reached at X @HumaRehman1.

AI Paris Summit and Emerging Paradox of AI Haves and Have-Nots was originally published on Global Security Review.

See his recently published article here.

Podcast Episode: Keeping AI Honest in Nuclear Command and Control was originally published on Global Security Review.