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AI4Bharat – Advancing Inclusive AI for India’s Linguistic Diversity

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AI4Bharat – Advancing Inclusive AI for India’s Linguistic Diversity

Overview

AI4Bharat, an initiative of Indian Institute of Technology Madras, is a pioneering research lab focused on building open-source Artificial Intelligence solutions for Indian languages. Established with the vision of bridging the digital divide, AI4Bharat is working towards making AI accessible to all Indians—regardless of language barriers.

Its work spans critical domains such as machine translation, speech recognition, text-to-speech, transliteration, and large language models (LLMs), all tailored to India’s multilingual ecosystem.

CSR Vision & Societal Relevance

AI4Bharat operates at the intersection of technology and social impact, aligning strongly with CSR priorities such as:

  1. Digital inclusion
  2. Equitable access to technology
  3. Preservation and promotion of regional languages
  4. Public digital infrastructure development

By creating open datasets, models, and tools as digital public goods, the initiative enables startups, governments, and institutions to build language-first solutions for millions of underserved citizens.

Key Initiatives & Programs

1. Open-Source Language AI Ecosystem

AI4Bharat has developed state-of-the-art models such as:

  1. IndicBERT, IndicBART (LLMs)
  2. IndicTrans (machine translation)
  3. IndicWav2Vec & IndicWhisper (speech recognition)

These tools support all 22 scheduled Indian languages, enabling scalable adoption across sectors.

2. National-Scale Data Infrastructure (Bhashini Mission)

As part of India’s Digital India Bhashini initiative, AI4Bharat is leading large-scale data collection and annotation efforts:

  1. Multi-language datasets for speech, text, and translation
  2. Open infrastructure for AI research and deployment

This effort strengthens India’s AI sovereignty and linguistic inclusivity.

3. Grassroots Data Collection & Employment

AI4Bharat’s nationwide programs involve:

  1. Data collection from hundreds of districts
  2. Collaboration with translators, annotators, and voice artists

This creates employment opportunities while preserving linguistic diversity.

Financial Contributions (CSR / Philanthropy)

  1. ₹36 Crore Grant from Nilekani Philanthropies to establish the Nilekani Centre at AI4Bharat
  2. ~₹70 Crore Total Commitment (multi-year philanthropic funding) supporting long-term AI research and infrastructure

These contributions highlight strong HNI-led CSR and philanthropic backing for building digital public goods.

Non-Financial Impact Metrics

Scale of Data & Research

  1. 15,000+ hours of transcribed speech data being collected across India
  2. Coverage across 400+ districts
  3. Support for 22 Indian languages

Language & AI Infrastructure

  1. 2.2 million+ translation pairs in multilingual datasets
  2. Development of multiple state-of-the-art AI models across NLP and speech

Human Capital & Ecosystem

  1. 100+ translators and annotators contributing to dataset creation
  2. Collaboration across academia, industry, startups, and government

Technology Impact

  1. AI models powering public digital platforms and language tools in India
  2. Enabling startups and enterprises to build Indic-language applications

CSR Impact Narrative

AI4Bharat represents a shift from technology for profit → technology for public good.

Its open-source approach ensures that:

  1. A farmer can access government schemes in their native language
  2. A student can learn without English being a barrier
  3. A citizen can interact with digital services seamlessly

By addressing linguistic inequality, AI4Bharat is unlocking inclusive digital transformation at scale.

Conclusion

AI4Bharat stands as a model CSR-aligned initiative where philanthropy, research, and public impact converge. With strong financial backing and measurable societal outcomes, it is not just building AI systems but building the linguistic backbone of India’s digital future.