Key Points

India is positioning itself as a leader in AI development by offering its models to the Global South. The country's multilingual ecosystem and initiatives like AI Kosh and Mission Bhashini are key drivers. Industry leaders like Google are advocating for better data access and private sector collaboration. The conference highlighted the economic and developmental urgency of a multilingual internet.

Key Points: India Offers AI Models to Global South Says MeitY Secretary Krishnan

  • India's AI Kosh repository hosts 400+ multilingual datasets
  • Mission Bhashini focuses on regional dialects beyond major languages
  • Google proposes unlocking historical data for AI development
  • India digitizing Ayurvedic texts for global healthcare research
3 min read

India open to sharing AI models with Global South: S Krishnan, MeitY Secretary

India proposes sharing AI models with Global South, leveraging its diverse language tech ecosystem at FICCI's Bhashantara 2025 conference.

"If you can do it in India, you can do it practically anywhere else in the world. – S Krishnan, MeitY Secretary"

New Delhi, July 25

India is open to sharing its artificial intelligence models with the Global South, S Krishnan, Secretary at the Ministry of Electronics and Information Technology, said at FICCI's conference Bhashantara 2025 on Friday.

Speaking at the conference, the secretary emphasised that India's Language Technology ecosystem is so diverse that it has the potential to lead global AI development, stating, "If you can do it in India, you can do it practically anywhere else in the world."

India's intent to share AI models with the Global South stems from discussions with UN officials, who expressed interest in the country's collaborative approach to artificial intelligence development.

It positions India as a potential alternative to other AI ecosystems, offering solutions designed explicitly for multilingual, resource-constrained environments.

The government's India AI Mission has established AI Kosh, a data repository containing more than 400 databases, designed to support researchers and entrepreneurs developing multilingual AI solutions. Krishnan highlighted Mission Bhashini and Anuvadini as key programmes advancing language technology, with particular emphasis on capturing regional dialects rather than just major languages.

India is also digitising traditional knowledge, including Ayurvedic texts and historical manuscripts, to create comprehensive datasets for global healthcare and research communities.

Unlike other nations that rely solely on state or private funding, India's approach encourages multi-stakeholder participation across academia, industry and research institutions.

Industry leaders at the conference outlined specific requirements to accelerate India's multilingual AI capabilities whilst committing to enhanced private sector contributions.

Harsh Dhand, Research and AI Partnerships APAC lead at Google and Co-Chair of FICCI's Multilingual Internet Committee, presented three key requests to government: unlocking historical data from institutions like Prasar Bharathi and All India Radio, broadening the definition of "Make in India" to "Made in India by India for India," and, connecting research entities to prevent duplication of efforts and better resource utilization.

Dhand also outlined that the industry must contribute through access to technology, seed funding for startups and academia, and skilling.

The conference highlighted India's progress in democratising internet access through local language domain names, with Ajay Data, Chairman of FICCI's Multilingual Internet and Universal Acceptance Committee, noting that domain names are now available in all official Indian languages. With more than 6 billion people globally not speaking English as their primary language and India home to 19,500 languages and dialects, Data emphasised the vast commercial opportunities that lay ahead.

Sandeep Nulkar, Co-Chair of FICCI's Multilingual Internet Committee and Founder of BITS Technologies, emphasised the conference's significance in concluding remarks: "We are no longer debating the possibility of a multilingual internet. We are actually mobilising around its urgency, not only in an academic manner, but also in a demographic and development and economic perspective."

- ANI

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Reader Comments

P
Priya S
While the initiative is good, I hope the government ensures proper safeguards before sharing our AI models. We've seen how other countries exploit shared technology. At least there should be some benefit-sharing agreements.
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Rohit P
Digitizing Ayurvedic texts is brilliant! Our ancient knowledge combined with modern AI can revolutionize healthcare. Just hope the patents remain with India and not get hijacked like in some previous cases.
S
Sarah B
As someone working in AI, I'm impressed by India's collaborative approach. The multi-stakeholder model could be a blueprint for other developing nations. The data repository with 400+ databases is particularly valuable for researchers.
K
Kavya N
Finally our regional languages getting importance in tech! My grandmother will be so happy if she can use internet in her mother tongue. Government should also focus on digital literacy in villages to maximize impact.
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Michael C
India's position as an AI leader for the Global South makes perfect sense. The multilingual capabilities being developed here could solve real problems in Africa and Southeast Asia. Hope the execution matches the vision.
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Vikram M
Good initiative but implementation is key. We need more transparency about how the data is being collected and used. Also, private companies should contribute more - not just take government support and sell products back to us at high prices

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