Model Answer

GS3

Science & Technology

15 marks

"The true potential of Artificial Intelligence lies not merely in building frontier AI models, but in commoditising AI as a Digital Public Infrastructure that is affordable, accessible and inclusive." Discuss.

India's success with Digital Public Infrastructure (DPI) through Aadhaar, UPI and ONDC has demonstrated that technology creates maximum value when it is universally accessible. Applying the same philosophy to AI can democratise innovation, strengthen digital sovereignty and accelerate inclusive economic growth.

Democratising AI for inclusive development

  1. AI should become a public utility rather than a premium technology. e.g: UPI democratised digital payments by making them universally accessible.
  2. Affordable AI can improve public service delivery. e.g: AI-enabled healthcare diagnostics, precision agriculture and personalised education.
  3. Multilingual AI can bridge India's digital divide. e.g: BHASHINI and BharatGen enabling AI in Indian languages.
  4. Shared AI infrastructure can empower startups, MSMEs and researchers. e.g: IndiaAI Compute Portal providing subsidised GPU access.

Building a sovereign AI ecosystem

  1. Indigenous AI models reduce dependence on foreign technology. e.g: Sarvam AI developing sovereign foundation models.
  2. Open public datasets improve innovation. e.g: AIKosh providing trusted datasets and AI sandbox under the IndiaAI Mission.
  3. AI integrated with DPI can transform governance outcomes. e.g: Aadhaar, DEPA and ONDC enabling AI-powered citizen services.
  4. Public investment can catalyse private innovation. e.g: IndiaAI Mission supporting compute infrastructure, startups and AI Centres of Excellence.

Addressing barriers to AI commoditisation

  1. High compute costs restrict widespread AI adoption. e.g: Heavy dependence on imported GPUs and cloud infrastructure.
  2. Limited access to quality datasets affects AI performance. e.g: Need for interoperable and consent-based public datasets.
  3. Privacy and ethical concerns require robust governance. e.g: Digital Personal Data Protection Act and Safe & Trusted AI pillar.
  4. Uneven digital infrastructure can widen AI inequality. e.g: Rural and MSME adoption gaps.

Way Forward

  1. Build a national AI Stack comprising compute, datasets, models and APIs on the lines of India's DPI.
  2. Expand the IndiaAI Mission through open-source AI, public-private partnerships and indigenous R&D.
  3. Establish a rights-based AI governance framework balancing innovation, accessibility, privacy and accountability.

India's comparative advantage lies not in competing model-for-model with global AI giants, but in making AI affordable, trusted and universally accessible. Commoditising AI can make it India's next transformative Digital Public Infrastructure.

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