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Giant Artificial Intelligences UPSC NOTE


What is ‘giant artificial intelligences’?

  • They are designed from the top-down, with the premise that the model will acquire the smaller details on its own.

  • There are many use-cases intended for these systems, including legal services, teaching students, generating policy suggestions and even providing scientific insights.

  • gAIs are thus intended to be a tool that automates what has so far been assumed to be impossible to automate: knowledge-work.


  • gAIs could lead to the loss of languages, which will hurt the diversity of our very thoughts.

  • The risk of such language loss is due to the bias induced by models trained only on the languages that already populate the Internet, which is mostly just English (~60%). 

  • There are other ways in which a model is likely to be biased, via religion (for example, more websites preach Christianity than they do other religions), sex and race.

  • Local knowledge only comes from experience. We can call that ‘knowledge of the territory’. This knowledge is abstracted away by gAIs. 

  • The ‘knowledge of the territory’ can only be captured by the people doing the tasks that gAIs are trying to replace.

Way forward

  • Artificially slow the rate of progress in AI commercialisation to allow time for democratic inputs.

  • Ensure there are diverse models being developed. 

  • ‘Diversity’ here implies multiple solutions to the same question, like independent cartographers preparing different atlases with different incentives — some will focus on the flora while others on the fauna. 

    • The research on diversity suggests that the more time passes before reaching a common solution, the better the outcome.

  • A better outcome is critical when dealing with the stakes involved in artificial general intelligence.



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Learnerz IAS | Concept oriented UPSC Classes in Malayalam: Giant Artificial Intelligences UPSC NOTE
Giant Artificial Intelligences UPSC NOTE
Learnerz IAS | Concept oriented UPSC Classes in Malayalam
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