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AI Kosha: India’s New AI Dataset Platform

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Overview of AI Kosha

  • Launched by: Union Government of India
  • Purpose: A repository of non-personal datasets to aid AI model and tool development
  • Current Dataset Count: 316 datasets
  • Primary Focus:
    • Language translation tools for Indian languages
    • Other datasets include:
      • Health data from Telangana’s Open Data Initiative
      • 2011 Census data
      • Satellite imagery from Indian satellites
      • Meteorological and pollution data

AI Kosha as Part of IndiaAI Mission

  • IndiaAI Mission: A government-backed initiative with a budget of ₹10,370 crore
  • Seven Pillars of IndiaAI Mission:
    • AI Kosha is part of the Datasets Platform pillar
    • Other pillars include Compute Capacity, which provides shared access to GPUs

Boosting Compute Capacity for AI Development

  • Government Initiative:
    • Commissioned 14,000 GPUs for shared AI model training and execution (earlier target was 10,000 GPUs)
    • Additional GPUs to be added quarterly
  • Foundational AI Model Development:
    • Inspired by DeepSeek (China’s AI model built at low cost)
    • Growing interest from Indian start-ups to develop a homegrown foundational AI model

Government’s Open Data Strategy

  • Existing Open Data Platforms:
    • data.gov.in – Over 12,000 datasets from various government agencies
    • Government has appointed Chief Data Officers across Ministries to encourage dataset contributions
  • Past Efforts to Leverage Non-Personal Data:
    • 2018 Committee led by Kris Gopalakrishnan explored mandatory data-sharing by private firms
    • Proposal (2020): Access to non-personal data from private firms (e.g., ride-sharing traffic data) for start-ups & policymaking
    • Pushback from private sector: Concerns over competition and proprietary data protection

Key Takeaways

  • AI Kosha strengthens India’s AI ecosystem by providing crucial public datasets for model development.
  • Increased GPU access supports start-ups and researchers in AI innovation.
  • Government’s data-sharing policies face challenges, especially regarding private-sector data.
  • India aims to develop its own foundational AI models to reduce reliance on foreign technology.

AI Kosha marks a significant step towards self-reliant AI development in India, but its success will depend on dataset expansion, private sector cooperation, and regulatory clarity.

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