UPSC Mains 2023 · GS Paper III · Q5

UPSC Mains 2023 GS3 Q5: model answer

Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare?

10 marks150 wordsDirective: Discuss

What the question wants

Define AI, its role in diagnosis, and privacy threats with safeguards.

How to structure it

Intro: AI as machines performing tasks that need human intelligence; machine learning. Body: (1) Clinical diagnosis: imaging (X-ray, TB, diabetic retinopathy), pathology, early warning, triage, rural telemedicine; Indian examples; (2) Privacy threats: sensitive data, consent, breaches, re-identification, bias, third-party sharing; (3) Safeguards: DPDP Act 2023, ICMR ethical guidelines 2023, ABDM consent. Conclusion: yes, threats exist but can be managed.

How to structure the answer
IntroductionAI as machines performing tasks that need human intelligence; machine learning
Body: discuss
  1. 1(1) Clinical diagnosis: imaging (X-ray, TB, diabetic retinopathy), pathology, early warning, triage, rural telemedicine
  2. 2Indian examples
  3. 3(2) Privacy threats: sensitive data, consent, breaches, re-identification, bias, third-party sharing
  4. 4(3) Safeguards: DPDP Act 2023, ICMR ethical guidelines 2023, ABDM consent
ConclusionYes, threats exist but can be managed

Model answer

Artificial Intelligence (AI) is the ability of machines to perform tasks that normally need human intelligence, such as learning, recognising patterns and making decisions. Machine learning trains systems on large data sets.

How AI helps clinical diagnosis

  • Imaging: reads X-rays, CT and MRI scans to spot tuberculosis, cancers and fractures quickly.
  • Eye care: screens for diabetic retinopathy in remote areas.
  • Prediction: flags patients at risk of sepsis or heart failure.
  • Reach: supports doctors in rural telemedicine, such as eSanjeevani.

Threats to privacy

  • Health data is highly sensitive; breaches can lead to discrimination in jobs or insurance.
  • Patients may not know how their data is used to train models.
  • 'Anonymised' data can be re-identified.

Safeguards: the DPDP Act, 2023, ICMR's ethical guidelines for AI in biomedical research (2023) and consent-based sharing under the Ayushman Bharat Digital Mission.

The threat is real, but strong consent rules and audits can keep AI's benefits without sacrificing privacy.

Keywords, cases and data to drop in

machine learning diagnostic imaging eSanjeevani DPDP Act ICMR guidelines

Where most answers lose marks

  • Skipping the definition.
  • One-sided view on privacy.

Fresh examples from current affairs

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FSSAI proposes residue limits for acetamiprid and imidacloprid in tea

On 17 October 2026 FSSAI explained draft limits for two insecticides in tea: 20 ppm for acetamiprid and 50 ppm for imidacloprid. The draft, published in the Gazette on 16 October, amends the rules on contaminants, toxins and residues. India’s proposed acetamiprid limit is lower than Japan’s 30 ppm and the USA’s 50 ppm.

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Learn the concept

Question text as printed in the official UPSC question paper: https://www.upsc.gov.in/sites/default/files/QP-CSM-23-GENERAL-STUDIES-PAPER-III-180923.pdf The model answer is original Battle IAS work; use it to learn structure, not to memorise.