UPSC CSE Prelims
Artificial Intelligence Previous Year Questions (PYQs)

Detailed Explanation:

Answer: Option 2 — 1, 3 and 4 only

This question tests the understanding of practical applications of Artificial Intelligence. AI can effectively reduce electricity consumption in industrial units through smart optimization, diagnose diseases through medical image analysis, and convert text to speech using natural language processing. However, creating genuinely meaningful creative content and wireless electrical transmission are not effective AI capabilities.

✅ Statement 1 – Correct: AI-driven automation and smart sensors optimize energy use in industrial units by predicting demand, monitoring equipment health, and adjusting operations in real-time to reduce electricity consumption.
❌ Statement 2 – Incorrect: At the time of this examination, AI could not effectively create truly meaningful short stories and songs with coherent narrative structure, genuine emotional depth, and creative intent beyond pattern recombination.
✅ Statement 3 – Correct: AI is highly effective in disease diagnosis, particularly in analyzing medical imagery such as X-rays, MRIs, and CT scans to detect diseases like cancer, pneumonia, and diabetic retinopathy with high precision.
✅ Statement 4 – Correct: Text-to-Speech (TTS) conversion is a mature and well-established application of AI that utilizes natural language processing and neural networks to synthesize human-like speech from written text.
❌ Statement 5 – Incorrect: Wireless transmission of electrical energy is a physical engineering process based on electromagnetic induction or microwaves, not an AI application. This is a function of physics and hardware design, not Artificial Intelligence.

📝 Short Notes: Applications of Artificial Intelligence

• Industrial Optimization: AI uses machine learning algorithms to analyze real-time data from sensors, predict maintenance needs, optimize production schedules, and reduce energy waste in manufacturing and industrial processes.
• Medical Diagnostics: AI-powered systems, particularly using deep learning and computer vision, assist in disease detection through medical image analysis, pattern recognition in patient data, and early diagnosis of conditions like cancer, cardiovascular diseases, and eye disorders.
• Natural Language Processing (NLP): Text-to-Speech systems use neural networks and deep learning to convert written text into natural-sounding speech, widely used in virtual assistants, accessibility tools, and automated customer service.
• Creative Content Generation: While AI can generate text and music based on patterns learned from training data, creating truly meaningful creative content with genuine emotional depth and narrative coherence remains challenging and was not considered an effective AI capability at the time of this examination.
• Limitations of AI: Physical processes like wireless power transmission depend on electromagnetic principles and hardware engineering, not software-based AI algorithms. AI can optimize such systems but cannot perform the transmission itself.