India unveils ‘New Delhi Frontier AI Commitments’
New Delhi, Feb 19: Championing inclusive and multilingual artificial intelligence for the Global South, the Government on Thursday unveiled the ‘New Delhi Frontier AI Impact Commitments’ at the India AI Impact Summit 2026, bringing together leading global AI firms and Indian innovators to advance responsible and equitable AI development.
Announcing the commitments, Union Minister for Electronics and IT Ashwini Vaishnaw said India’s AI strategy is rooted in democratisation, scale, and sovereignty, with a comprehensive push across applications, models, compute, talent and energy.
“AI is a foundational technology. It is already transforming how we work, learn, and make decisions. Our Honourable Prime Minister believes that the true value of technology lies in ensuring that its benefits reach the masses,” Vaishnaw said.
“Our Prime Minister’s vision is to democratise technology, deploy it at scale, and make it accessible to all. That is why in India we are working on all five layers of the AI stack. Once we honestly harness the benefits of AI, we must also find collective solutions for mitigating risks. By placing human safety and dignity at the heart of AI, we can move forward with conviction. Let us shape an AI future of the humans, by the humans, and for the humans,” he said.
The voluntary commitments aim to ensure that the development and deployment of AI systems are aligned with equity, cultural diversity and real-world needs, particularly in the Global South.
Participating organisations include Indian innovators like Sarvam, BharatGen, Gnani.ai, and Soket, alongside global frontier AI firms.
The first commitment, ‘Advancing Understanding of Real-World AI Usage,’ focuses on generating anonymised and aggregated insights to support policymaking on AI’s impact on jobs, skills, productivity and economic transformation.
It seeks to enable data-driven analysis of AI deployment across sectors, helping governments maximise benefits while mitigating risks.
The second commitment, ‘Strengthening Multilingual and Contextual Evaluations,’ seeks to improve AI performance across languages, cultures and real-world use cases.
Participating organisations will collaborate with governments and local ecosystems to develop datasets, benchmarks, and expertise for under-represented languages and cultural contexts, thereby democratising access to high-quality AI systems globally.
Emphasising collaboration, Vaishnaw said coordinated action by governments, industry and research communities is essential to ensure that AI serves humanity at large, and invited participating organisations to advance the commitments as a foundation for responsible AI development worldwide.
