How the application of Artificial Intelligence (AI) can help India in its socio-economic development? Identify the hurdles in its large-scale adoption and suggest corrective measures.

AI seeks to simulation of human-like intelligence by machine learning based on deep learning & neural networks. AI and socio-eco development: Ai and socio-eco development Agricultural sector → a) Precision agriculture using sensors, IOT based irrigation in AI → b) Crop surveillance data for managing requirements → c) Productivity enhancement by assisting farmers to adopt new tech. Industrial dev → a) Industry 4.0 → based on AI for advanced manufacturing → b) Improve capital intensive output by adding labor Other benefits → a) Aids govt → scheme implementation, governance sedrol → b) Awareness & evidence based policy making disseminated → c) Boost knowledge economy → d) Skilled education → AI smart classes

c) Help in skilling workers and improve labor productivity → d) Create new jobs such as AI professional, etc → e) Boost IT sector, electronics manufacturing, etc Other benefits → a) Awareness & evidence based policy making disseminated → b) Broad knowledge economy → c) Student education → AI smart classes Hurdles: (1) High cost of AI dev → charged by openfal developed over $ billions (2) Digital literacy → India lacks online use educational framework → only 50% women know mobile use rural-urban only 35% rural men-women (3) Digital divide → rural-urban only rural men-women Suggestions: (1) Develop indigenous models → BhaASmh (2) Promote startups → AgriSuPP (3) R&D expenditure → from 0.6% to atleast 2% of GDP (4) Data privacy laws based on EO's GDPR, [illegible] DPDP (5) PPP for ensuring resources in AI scaling & applications (6) Inclusivity & academia linkage for large scale adoption (7) Educating → AI courses on SWAYAM NPE 2020 → school ed

— ASTHA JAIN · AIR 9