Question Q.15Identify the hurdles in its large-scale adoption and suggest corrective measuresGS3GS3
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.
Main Body
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 sectora) Precision agriculture using sensors, IOT based irrigation in AIb) Crop surveillance data for managing requirementsc) Productivity enhancement by assisting farmers to adopt new tech. Industrial deva) Industry 4.0based on AI for advanced manufacturingb) Improve capital intensive output by adding labor Other benefitsa) Aids govtscheme implementation, governance sedrolb) Awareness & evidence based policy making disseminatedc) Boost knowledge economyd) Skilled educationAI smart classes
c) Help in skilling workers and improve labor productivityd) Create new jobs such as AI professional, etce) Boost IT sector, electronics manufacturing, etc Other benefitsa) Awareness & evidence based policy making disseminatedb) Broad knowledge economyc) Student educationAI smart classes Hurdles: (1) High cost of AI devcharged by openfal developed over $ billions (2) Digital literacyIndia lacks online use educational frameworkonly 50% women know mobile use rural-urban only 35% rural men-women (3) Digital dividerural-urban only rural men-women Suggestions: (1) Develop indigenous modelsBhaASmh (2) Promote startupsAgriSuPP (3) R&D expenditurefrom 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) EducatingAI courses on SWAYAM NPE 2020school ed
4Internet connectivity → remote areas & rural areas keep broadband connection (5) Low awareness → farmers not aware about AgnTeleMedicInt privacy concerns & data sovereignty issues → Meta-Google monopoly (6) Geographic constraint Suggestions: (1) Develop indigenous models → BhaASmh (2) Promote startups → Agrifund (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
370 words1 paragraphs
Topper
ASTHA JAIN
AIR 92025
Subject & Paper
GS3GS3
Topic
Science and Technology
Science and Technology
Emerging Tech
Writing Stats
370
Total words
1
Paragraphs
analytical
Tone