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Most Important AI Questions and Answers for CBSE Class 10 Board Exam 2024-25 🚀

Most Important AI Questions & Answers for CBSE Class 10 Board Exam 2024-25

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Unit 1: Introduction to Artificial Intelligence

  1. What is Artificial Intelligence (AI)?
    Ans: AI refers to the simulation of human intelligence in machines that can perform tasks such as problem-solving, learning, and decision-making.
  2. Who is considered the father of AI?
    Ans: John McCarthy is known as the father of AI.
  3. What are the types of AI?
    Ans: The three types of AI are:
    • Narrow AI (Weak AI) – AI designed for specific tasks.
    • General AI (Strong AI) – AI with human-like intelligence.
    • Super AI – AI surpassing human intelligence (theoretical).
  4. Give two real-world applications of AI.
    Ans:
    • Virtual Assistants (Alexa, Siri, Google Assistant)
    • Self-driving cars (Tesla, Waymo)
  5. What are the major fields of AI?
    Ans: Machine Learning, Natural Language Processing, Computer Vision, Robotics, Expert Systems.

Unit 2: AI Applications & Impact

  1. How is AI used in healthcare?
    Ans: AI assists in disease detection, robotic surgeries, and personalized medicine.
  2. Name two AI applications in education.
    Ans: AI-powered tutoring (Byju’s, Duolingo), Smart grading systems.
  3. What is the impact of AI on jobs?
    Ans: AI automates repetitive jobs but also creates new career opportunities in AI development.
  4. List two ethical concerns of AI.
    Ans:
    • Data privacy and security
    • Bias and discrimination in AI algorithms
  5. What is the role of AI in e-commerce?
    Ans: AI provides personalized recommendations, chatbots for customer service, and fraud detection.

Unit 3: Machine Learning Basics

  1. What is Machine Learning (ML)?
    Ans: ML is a subset of AI that enables machines to learn from data and improve performance without explicit programming.
  2. What are the types of Machine Learning?
    Ans:
    • Supervised Learning (Labeled data, e.g., spam detection)
    • Unsupervised Learning (No labeled data, e.g., customer segmentation)
    • Reinforcement Learning (Learning by rewards, e.g., AI playing chess)
  3. Define supervised learning with an example.
    Ans: Supervised learning is an ML approach where the model is trained on labeled data. Example: Email spam detection.
  4. What is a dataset in Machine Learning?
    Ans: A dataset is a collection of data used to train and test AI models.
  5. Explain the difference between AI and ML.
    Ans: AI is a broad concept where machines mimic human intelligence, while ML is a subset of AI that focuses on learning from data.

Unit 4: Natural Language Processing (NLP)

  1. What is Natural Language Processing (NLP)?
    Ans: NLP is a branch of AI that enables computers to understand and process human language.
  2. Give two applications of NLP.
    Ans:
    • Chatbots (ChatGPT, Siri)
    • Sentiment analysis (Used in social media monitoring)
  3. What is sentiment analysis in AI?
    Ans: Sentiment analysis is a technique used to determine the emotion (positive, negative, neutral) behind text data.
  4. Name an AI-based language translation tool.
    Ans: Google Translate.
  5. What is tokenization in NLP?
    Ans: Tokenization is the process of breaking text into words or sentences.

Unit 5: Computer Vision

  1. What is Computer Vision?
    Ans: Computer Vision is an AI field that enables machines to interpret and process images and videos.
  2. Give an example of Computer Vision application.
    Ans: Face recognition in smartphones.
  3. How does AI-powered OCR work?
    Ans: Optical Character Recognition (OCR) converts scanned images of text into editable text.
  4. What is image recognition?
    Ans: Image recognition is a process where AI identifies objects, people, or scenes in images.
  5. Name an AI-based face recognition software.
    Ans: Face ID by Apple.

Unit 6: AI and Ethics

  1. What is bias in AI?
    Ans: AI bias occurs when an algorithm unfairly favors certain groups due to biased training data.
  2. Why is data privacy important in AI?
    Ans: AI systems use vast amounts of personal data, and privacy breaches can lead to identity theft and misuse.
  3. How can AI be made ethical?
    Ans: By ensuring fairness, transparency, and accountability in AI models.
  4. Give an example of AI causing ethical issues.
    Ans: AI-based hiring tools discriminating against certain groups due to biased training data.
  5. What is explainability in AI?
    Ans: Explainability refers to the ability to understand and interpret AI decisions.

Unit 7: AI and Robotics

  1. What is Robotics?
    Ans: Robotics is a branch of AI that focuses on designing, building, and operating robots.
  2. Name two real-world robots using AI.
    Ans: Sophia (humanoid robot), Spot (robotic dog by Boston Dynamics).
  3. How does AI help in autonomous vehicles?
    Ans: AI enables self-driving cars to detect obstacles, navigate roads, and make driving decisions.
  4. What is a chatbot?
    Ans: A chatbot is an AI-based virtual assistant that interacts with users via text or voice.
  5. Name an AI-powered robotic assistant.
    Ans: Amazon Astro.

Unit 8: AI and Future Trends

  1. What is Deep Learning?
    Ans: Deep Learning is a subset of ML that uses neural networks to process data.
  2. What is IoT in AI?
    Ans: IoT (Internet of Things) refers to smart devices connected to the internet that use AI to improve efficiency.
  3. Give an example of AI in the entertainment industry.
    Ans: AI is used in Netflix’s recommendation system.
  4. What is reinforcement learning?
    Ans: A learning approach where AI learns by interacting with the environment and receiving rewards or penalties.
  5. What is an AI-driven recommendation system?
    Ans: A system that suggests products, movies, or music based on user preferences.

Unit 9: Practical AI Skills

  1. Which programming language is widely used for AI?
    Ans: Python.
  2. What is an AI model?
    Ans: An AI model is a mathematical framework trained on data to make predictions or decisions.
  3. What is OpenAI?
    Ans: OpenAI is a research lab that develops AI models like ChatGPT.
  4. Name a dataset used for AI training.
    Ans: ImageNet for image recognition tasks.
  5. What is a neural network?
    Ans: A computational model inspired by the human brain, used in deep learning.

Miscellaneous AI Questions

  1. What is automation in AI?
  2. Define speech recognition.
  3. How does AI help in cybersecurity?
  4. What is a self-learning algorithm?
  5. How can AI help in disaster management?

These 50 Q&A cover all key AI topics for CBSE Class 10 Board Exam in an easy-to-understand format. Let me know if you need more details! 🚀

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