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Nandan Nilekani Backs AI4Bharat with Second Grant for India's Language AI

ByDarshanbir Singh Narula
2025-06-06.1 day ago
Nandan Nilekani Backs AI4Bharat with Second Grant for India's Language AI
A conceptual graphic showing the AI4Bharat logo surrounded by various Indian language scripts, symbolizing Nandan Nilekani's grant to enhance India's multilingual AI infrastructure.

Commitment to Building India's AI Capabilities

As reported by Money Control, a second grant has been given to AI4Bharat by Nandan Nilekani, the Chairman of Infosys. The initiative focuses on enhancing AI capabilities of India and the funding aims to advance the development of such technologies. The grant is to enable more inclusive and accessible AI solutions for the people living in the country.

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Supporting Language Diversity in AI Development

In the current scenario, the initiative is focusing on building AI language infrastructure that can cater to the languages and dialects used in the country. There has been a long gap between the usage of AI and the processing of languages. AI4Bharat accelerates the mission towards the creation of AI models that are culturally relevant in India and can work with the number of languages in India, including those with a low or no digital footprint.

Enhancing Inclusivity and Technological Equity

The main aim of such an initiative is to reduce the digital difference between AI technologies and languages. The model will be developed to understand the Indian languages and aim to improve the voice recognition systems to real-time translation and content generation. The focus is on Indian businesses, government services and providing more localized AI-driven solutions. The aim is to not leave any language group in the digital revolution.

Impact and Future Prospects for India’s AI Infrastructure

With the help of the second grant that has been presented, AI4Bharat is ready to lead the India’s ability to drive towards AI inclusivity and equity. The success of the initiative has a chance to make India a global leader in AI for multilingual and multicultural contexts. The model can be created and replicated in different regions of the world that are known to be linguistically diverse.

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