Responsible AI — the need for ethical guard rails (GS-3 Science and tech, The Hindu)

What is A.I.-

    • AI is a self, adaptive learning system.
    • Works on Deep learning and machine learning.
    • MACHINE LEARNING
      • Building block of AI
      • Machine learning algorithms analyze data features as inputs, and by the process of iterative improvement can produce linear and nonlinear predictive models.
      • One of the types of machine learning algorithms is artificial neural networks (ANNs).
    • Positive effects of AI
      •  AI has helped increase crop yields raised business productivity, improved access to credit and made cancer detection faster and more precise
      • AI may act as an enabler on 134 — or 79% — of all SDG targets.
      • AI can help in solving social problems but it may also act as hindernace.
  • Issues:
  • AI requires massive computational capacity, which means more power-hungry data centres — and a big carbon footprint
  • Without clear policies on reskilling workers, the promise of new opportunities will in fact create serious new inequalities.
  • AI facial recognition and surveillance technology discriminating against people of colour and minorities.
    • Privacy concerns:-
      • AI knows more about us than ourselves.
      • It can be misused.
  • What is way forward
      • Humane policies central to humanity.
      • Government, companies and the whole society should be seen as creators and recipients both.
      • AI is used in a manner that is
        • Trustworthy
        • human rights-based
        •  safe and sustainable
        • promotes peace.
      •  global, comprehensive standard-setting draft Recommendation on the Ethics of Artificial Intelligence to Member States for deliberation and adoption.
      • striving to strike the right balance between AI promotion and AI governance

    Download Plutus IAS Daily Current Affairs of 17th March 2021