India's AI Summit 2026: Pioneering Indigenous Defence Tech and Trusted AI Solutions

February 17, 2026
India's AI Summit 2026: Pioneering Indigenous Defence Tech and Trusted AI Solutions
  • India must pursue indigenous AI development for defence, avoiding reliance on foreign AI models for sensitive military applications and ensuring the trustworthiness of AI systems.

  • The India AI Impact Summit 2026 is framed as a platform to build trusted, domestic AI capabilities, with MeitY and the government coordinating stakeholders to strengthen the AI ecosystem.

  • Kaushik notes that while AI is widely adopted in daily life, most solutions are imported, underscoring the urgency for trusted domestic capabilities.

  • DRDO has rolled out two governance tools: the ETAI framework to enhance resilience of AI-enabled systems and a guidelines-based testing and verification framework for AI solutions.

  • The agency’s AI governance package includes the ETAI framework and a developer-focused checklist for validating and verifying defence AI tools.

  • In sum, DRDO’s two-framework approach aims to build reliability and safe deployment of AI across defence applications.

  • AI is increasingly embedded in DRDO solutions and moving toward edge deployment and battlefield use, signaling a push to rapidly integrate AI into defence capabilities.

  • This shift toward edge and battlefield deployment reflects DRDO’s broader effort to scale AI adoption across projects for operational environments.

  • The integration of AI across DRDO projects envisions rapid upscaling, with edge computing and battlefield deployment as core components.

  • The India-AI Impact Summit 2026 focuses on responsible AI governance, innovation ecosystems, digital public infrastructure, climate-conscious tech, and equitable access, organized around the People, Planet, and Progress pillars.

  • The summit will feature seven thematic working groups, co-chaired by Global North and Global South representatives, proposing ideas like AI Commons, trusted AI tools, and shared compute infrastructure, plus sector-specific AI use case compendiums.

  • Sessions will address AI safety, governance, data protection, sovereign AI, indigenous foundation models, and the role of startups, farmers, and small businesses in employment and skilling.

Summary based on 8 sources


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