Introduction to Artificial Intelligence (AI)
Q1. Define Artificial Intelligence.
Answer : Artificial Intelligence (AI) is the simulation of human intelligence in machines, allowing them to perform tasks such as learning, reasoning, problem-solving, and decision-making.
Example: AI chatbots like ChatGPT can understand and respond to human conversations.
Q2. List three real-life applications of AI.
Answer : AI is widely used in various sectors to enhance efficiency and automation.
Examples: 1. Voice Assistants – AI-powered tools like Google Assistant, Siri, and Alexa help users with queries and tasks.
2. Recommendation Systems – Platforms like Netflix, YouTube, and Amazon suggest movies, videos, or products based on user preferences.
3. Self-Driving Cars – AI enables autonomous vehicles like Tesla Autopilot and Waymo to navigate roads safely.
Q3. Differentiate between AI, Machine Learning, and Deep Learning.
Answer :
Key Points:
AI is the broad concept, while ML and DL are specialized fields within AI.
ML involves learning from data, and DL focuses on deep neural networks for more complex tasks.
Q4. What are the three domains of AI?
Answer:
AI is categorized into three main domains:
1. Data Science – AI analyzes and interprets large datasets for insights.
Example: AI-driven market analysis in e-commerce.
2. Computer Vision – AI recognizes and processes images/videos.
Example: Face recognition in smartphones and security cameras.
3. Natural Language Processing (NLP) – AI understands and responds to human
language.
Example: Chatbots, language translation apps like Google Translate.
Q5. Mention two advantages and two disadvantages of AI.
Answer : Advantages:
1. Automation of Tasks – AI reduces human effort in repetitive jobs (e.g., chatbots, data entry).
2. Higher Efficiency and Accuracy – AI performs calculations and analyzes data with high precision.
Disadvantages:
1. Job Losses – AI automation may replace human workers in various industries.
2. Bias and Ethical Concerns – AI algorithms can be biased if trained on partial or unfair data.
Q6. What is the difference between Narrow AI and General AI?
Answer : Narrow AI: AI designed for a specific task (e.g., voice assistants, spam filters).
General AI: AI that can perform multiple tasks and reason like a human (still under research).
Examples:
Narrow AI: Google Assistant, Chess-playing AI, Email spam filters.
General AI: Theoretical AI that can think and make decisions like humans.
Q7. What are the ethical concerns related to AI?
Answer : AI raises several ethical concerns, including:
1. Bias in AI – AI systems may make unfair decisions if trained on biased data.
2. Privacy Issues – AI collects and processes large amounts of personal data, leading to privacy risks.
3. Job Displacement – AI automation may.
Q8. How does AI help in automating tasks?
Answer : AI automates tasks by performing repetitive and time-consuming work efficiently.
Examples:
1. Customer Support – AI chatbots provide 24/7 support on websites.
2. Manufacturing – AI-powered robots assemble products in factories.
3. Healthcare – AI analyzes medical scans for early disease detection.
replace human jobs in industries like customer service and manufacturing.
Q9. How is AI transforming the transportation sector?
Answer : AI is improving transportation by increasing safety, efficiency, and automation.
Examples:
1. Self-Driving Cars – AI-powered cars like Tesla use sensors and cameras to drive autonomously.
2. Traffic Management – AI predicts traffic congestion and suggests better routes (Google Maps).
3. Smart Navigation – AI-powered apps like Waze provide real-time route optimization.
Q10. What is the role of Machine Learning in AI?
Answer : Machine Learning (ML) is a subset of AI that enables computers to learn from data without being explicitly programmed.
Examples of ML Applications:
1. Spam Filtering – Gmail detects and filters spam emails.
2. Recommendation Systems – Netflix recommends shows based on user preferences.
3. Fraud Detection – Banks use AI to detect fraudulent transactions.
