A plan for India to carve its own space in the AI dominance race

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A plan for India to carve its own space in the AI dominance race

Read more on - Polity | Economy | Schemes | S&T | Environment


  • The global AI race: India lags behind the US and China in the global artificial intelligence race today. Going by citations or awards at AI contests, Indian universities are not top entities. China recently proved 'quantum supremacy' in a manner that can upset the US and even Google!
  • AI algorithms: India isn't a leader in top-notch algorithm developments, but that's not a problem because ultimately all such come to public domain, for wide availability. Data is the real problem, not algorithms. Let others do the tough task of building algorithms, and India can focus on use-cases, and data.
  • Knowledge: India's goal must be to turn data into useful 'knowledge', to solve its own problems. "Knowledge" in data science comes from general-purpose algorithms and high quality data. Any AI work needs it, and most data is useless.
  • Oil and refinery: Data is the new oil, and algorithms are the refineries. So the asset is oil, and refineries can always be imported. India's focus ought to be on data infrastructure to improve quality of life at everyday level, and improve governance. India already has a history of process-driven white-collar and technology jobs (call centres, BPOs, software development).
  • Pandemic times: Data usage jumped suddenly in India during 2020. While 40000 petabytes in 2010, it went to 2.3 million petabytes in 2020. Government is also ensuring localisation of data in India. This data trove is the key to success, if problems in the private, public and govt. services can be solved using it.
  • Private sector projects: It can work on address, identity and gender disambiguation, to be more efficient at food delivery, medicine delivery and like. Interest rates on loans can go down. To have a strong AI to identify a location correctly can add 0.5% to GDP.
  • Public sector projects: Entire traffic system can be rationalised and streamlined using sensors, and large impact on quality of life attained. Productivity will rise.
  • Govt. services projects: Integration of public services and spending can be done, to better use scarce resources. 
  • Prior successes: The massive scale of Aadhaar, and the huge success of UPI (Unified Payment Interface) have proven that platforms at scale are possible for India. The same story can be repeated for AI infrastructure as well.
  • India's primary strength: Its large workforce that can collect and codify data for consumption and create large-scale tech infrastructure should be put to use. Forget algorithms.
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                                                                                                                                                                                                                                                                                                PT's IAS Academy: A plan for India to carve its own space in the AI dominance race
                                                                                                                                                                                                                                                                                                A plan for India to carve its own space in the AI dominance race
                                                                                                                                                                                                                                                                                                Excellent study material for all civil services aspirants - begin learning - Kar ke dikhayenge!
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