Q1(a) · UPSC Civil Services Mains 2024 · GS IV · 10 marks · 3 min read

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The application of Artificial Intelligence as a dependable source of input for administrative rational decision-making is a debatable issue. Critically examine the statement from the ethical point of view

Topic: Probity in Governance. Syllabus: Probity in Governance: Concept of public service; Philosophical basis of governance and probity; Information sharing and transparency in government, Right to Information, Codes of Ethics, Codes of Conduct, Citizen’s Charters, Work culture, Quality of service delivery, Utilization of public funds, challenges of corruption. Same official PYQ from year-wise 2024 and Probity in Governance.

Revision summary

AI can speed pattern-finding in administration, but it is ethically unsafe as an unreviewed verdict. Bias, opacity, privacy harm and an accountability gap mean the officer remains answerable. A dependable use is explainable input plus human review of high-stakes harm. Ethics that shapes action includes duty, consequence, virtue, rights, role and care. A professional framework turns those dimensions into stakeholders, reasons, records and appeal.

Model answer

Introduction

A file used to wait for a human. It now waits for a model. Part (a) asks whether that model can be a dependable source for rational administrative choice, and what ethics says when the model is wrong about a widow’s ration. Part (b) steps back: ethics is not one slogan. It is several dimensions that already live in a civil servant’s Tuesday — intent, consequence, duty, virtue, rights and the role.

Body

(a) AI as input for administrative rational decision-making

Rational administration, in Weber’s sense, is reasoned, rule-bound and reviewable. AI can help that reason: it can flag a flood village, match a duplicate PAN, or queue a hospital bed. Speed and pattern-finding are real goods. The ethical debate begins when the same tool is treated as a verdict, not as an input.

Bias. Training data copy old exclusion. A credit or policing score can punish a pincode or a caste cluster that the officer never named. Kant’s test fails if a person is used as a data point, not an end. Opacity. A black box cannot give the reasons that natural justice and administrative law demand. An order that says “the model scored you low” is not a speaking order. Accountability. When a death follows an automated stop of dialysis funds, who is guilty — the vendor, the secretary, or “the algorithm”? Ethics of responsibility (Jonas, and ordinary service rules) says the human in the chair remains answerable. Dignity and privacy. Facial recognition in a protest, or Aadhaar-linked welfare without a manual override, can starve a rights-holder for a “tech glitch”. Autonomy of the officer. Over-trust is a new vice: the file is signed because the dashboard is green.

So the statement is half right. AI is a dependable aid only inside a cage: explainability, audit of bias, human review of high-stakes harm, data minimisation (DPDP Act as a floor), and a published redress. It is not a dependable source of moral judgement. Aristotle’s prudence still sits with the officer who visits the village the model has erased.

(b) Key dimensions of ethics and professional decision-making

Ethics that actually moves a hand has several dimensions, not one exam heading.

Normative content: what is right — duty (Kant, Gita’s nishkama), consequence (Mill: greatest sustainable good), virtue (Aristotle: courage, temperance, justice). Intent and motive: a lawful transfer done to punish a whistle-blower is still rotten inside. Rights and dignity: Article 14 and 21 as ethical floors, not only clauses. Character and habit: one honest year is a disposition, not a poster. Context and role: a doctor’s confidentiality is not a journalist’s; a District Magistrate’s role morality is not a private citizen’s. Social dimension: Durkheim’s conscience of the group; Vivekananda’s man-making. Relational care: Gilligan’s reminder that a rule can be correct and still cruel to the person in the queue.

In professional ethical decision-making these dimensions become a sequence, not a speech. Name the stakeholders. Name the duty of office (Constitution, law, Conduct Rules). Test consequences for the weakest face (Gandhi’s talisman). Check conflict of interest and appearance of bias. Record reasons. Leave a path for appeal. A well-structured professional framework is therefore values written down, rules that bite, cases practised in training, and leaders who eat last. Dimensions without that structure stay as optional poetry. Structure without dimensions becomes GFR theatre that still starves a person.

Flow diagram

flowchart TD
  AI[AI as input] --> H[Human review]
  B[Bias opacity] --> H
  D[Duty consequence virtue rights] --> P[Professional decision]
  H --> P

Conclusion

AI can inform a rational file; it cannot own the file. Bias, opacity and the accountability gap make it an aid under human review, not a moral authority. Ethics works through duty, consequence, virtue, rights, role and care; a profession is ethical when those dimensions are built into reasons, records and redress.

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More from this paper

Q1(b) · UPSC Mains 2024 · GS IV · 10 marks

"Ethics encompasses several key dimensions that are crucial in guiding individuals and organizations towards morally responsible behaviour." Explain the key dimensions of ethics that influence human actions. Discuss how these dimensions shape ethical decision-making in the professional context.

Probity in Governance

AI can speed pattern-finding in administration, but it is ethically unsafe as an unreviewed verdict. Bias, opacity, privacy harm and an accountability gap mean the officer remains answerable. A dependable use is explainable input plus human review of high-stakes harm. Ethics that shapes action includes duty, consequence, virtue, rights, role and care. A professional framework turns those dimensions into stakeholders, reasons, records and appeal.

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