The future of digital innovation depends on self-reliant, domain-specific AI capabilities. In this context, bring out the key considerations in developing indigenous AI models and tools. Suggest measures to build an enabling ecosystem for AI innovation in India. What initiatives have been taken by the government in this regard?
Main Body
Key considerations for AI development: (1) Availability of data - Broadbased, disaggregated, expansive data for processing (2) Ensuring privacy - the clause - UK Open safety initiative for anonymous, public health records. (3) AI skill proficiency - to ensure effective model design. (4) Compute capacity - for training and deploying LLMs. (5) Societal linkages - effective application of AI to solve socio-economic problem. Measures to build AI ecosystem in India: (1) Educational changes - curriculum to include AI from high school. Skilling Relevant AI development skills. (2) Ready availability and accessibility of anonymous, structured data from government websites. (3) Collaborative AI outreach - internal university linkages or NGOs or human-centric AI deployment.
Conclusion
India outreach has faced in the 21st century, and India must quickly get on to the AI by for economic and geopolitical reasons.
23 words
PRACHET
Science and Technology
Emerging Tech
AI ecosystem development in India
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Paragraphs
analytical
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