Ethics of Artificial Intelligence and Big Data

TOPIC CLASSIFICATION

Subject: Ethics, Integrity, and Aptitude (GS Paper-IV)
Sub-topic: Ethics of AI and Big Data - Algorithmic Bias, Data Privacy, Autonomy, Accountability, Transparency, Ethical Governance of AI
Mains GS Paper-IV / GS Paper-III: Ethics of emerging technologies; data privacy; AI governance and regulation.

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EXAMINER REASONING

AI ethics is a frontier topic for UPSC - it tests your ability to apply ethical principles (autonomy, justice, beneficence, non-maleficence) to rapidly evolving technologies. Prelims tests: key concepts (algorithmic bias, data privacy, right to be forgotten, data localisation), India's Digital Personal Data Protection Act (DPDPA) 2023, EU AI Act. Mains demands: (a) ethical principles for AI - transparency, accountability, fairness, explainability, (b) algorithmic bias - how AI systems discriminate (gender, race, caste), (c) data privacy vs. innovation - the ethical trade-off, (d) autonomous systems - who is responsible when an AI kills/harms? (trolley problem for autonomous vehicles, military drones), (e) India's regulatory approach - DPDPA 2023, National AI Strategy (AI for All), (f) job displacement - the ethics of technological unemployment, (g) AI and democracy - deepfakes, election manipulation, echo chambers. The examiner's favourite framing is: "How can India balance the benefits of AI with the ethical risks it poses?"