17 Mar Responsible AI — the need for ethical guard rails (GS-3 Science and tech, The Hindu)
What is A.I.-
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- 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.
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- Privacy concerns:-
- AI knows more about us than ourselves.
- It can be misused.
- Privacy concerns:-
- What is way forward
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- 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
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Plutus IAS Current Affair Team Member
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