[TOPIC CLASSIFICATION]

Topic Type: Science and Technology / Ethics PYQ Frequency: Medium (Trending) Stage: Prelims and Mains GS Paper: GS 3 and GS 4

[EXAMINER REASONING]

1. Trap: Thinking GenAI is just LLMs. It includes image, video, and audio synthesis.
2. Confused Point: Difference between AI Ethics and AI Law.
3. Anchor: Hallucinations and Deepfakes.
4. CA Hook: The EU AI Act and India's approach to AI regulation.
5. Mains Hinge: The balance between innovation and safety (The Alignment Problem).

Core Concept

Generative AI refers to artificial intelligence capable of creating new content (text, images, code) by learning patterns from existing data. Unlike traditional AI, which analyzes data, GenAI synthesizes it.

Ethics in GenAI revolves around data privacy, intellectual property rights, the proliferation of misinformation (deepfakes), and the potential for algorithmic bias. Governance focuses on creating frameworks that ensure transparency, accountability, and human oversight.

Key Facts

• Core Tech: Transformer architectures, Diffusion models
• Key Issue: Hallucinations (confident falsehoods)
• Regulatory Model: Risk based approach (EU AI Act)
• Indian Context: IndiaAI Mission
• Ethical Concern: Job displacement and cognitive atrophy

Previous Year Questions

Statement Elimination Guide

• Correct: Generative AI can create data that has no real world counterpart.
• False: GenAI does not require training data. (Incorrect. It requires massive datasets).
• Trap: Stating that GenAI is always objective. (Incorrect. It mirrors the biases in its training data).