Why should India prioritize building its own foundational AI models?

Building its own foundational AI models is crucial for India to reduce dependence on foreign technologies and prevent its data from being used by foreign companies to create products sold back to India, a risk highlighted as digital neo-colonialism.

What are the key building blocks for AI diffusion in India and the Global South?

Key building blocks for AI diffusion include compute power, connectivity, electricity, talent and skills, and the linguistic capabilities to develop multilingual models, especially for the Global South.

How can India foster indigenous AI development beyond application-layer innovation?

India can foster indigenous AI development by focusing on foundational innovation, including chip design, high-performance computing infrastructure, and encouraging deeper technological capabilities rather than superficial AI integrations.

Home / Technology / India's AI Future: Build or Borrow?

India's AI Future: Build or Borrow?

25 Feb

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Summary

India urged to prioritize building domestic AI models.
Data sovereignty is key to preventing digital neo-colonialism.
Foundational AI infrastructure requires policy, academia, and industry coordination.

India must prioritize developing its own foundational artificial intelligence (AI) models and bolster data sovereignty safeguards to decrease dependence on foreign technologies. This was the consensus among experts, including Sandeep Shukla of IIIT Hyderabad and Jibu Elias of Mozilla India, during a panel discussion.

Experts emphasized that AI should function as digital public infrastructure, with sector-specific data used to retrain models. Utilizing foreign models like ChatGPT or Gemini risks relinquishing crucial data to other nations, potentially leading to a new form of digital neo-colonialism. India's demographic diversity is seen as a strength for developing models applicable globally.