A. Tick (✓) the correct option
1. What are the main challenges of implementing AI technologies?
Answer: (c) Both a and b
2. An AI technique to develop algorithms to handle complex tasks like speech recognition.
Answer: (a) Machine Learning
3. The output of an algorithm is called a:
Answer: (a) Prediction
4. Healthcare organizations have employed rule-based expert systems to offer:
Answer: (b) Medical diagnoses
5. Which of the following is NOT an example of AI?
Answer: (c) Sewing machines
B. Fill in the blanks by choosing words from the Help Box
(Help Box: Learning-based approach, Explain, user trust, subfield, human brain)
1. Machine learning is a ______ of artificial intelligence.
Answer: subfield
2. The structure and operation of the ______ served as the inspiration for deep learning systems.
Answer: human brain
3. ______ involves feeding the machine with random data.
Answer: Learning-based approach
4. One of the challenges of implementing AI technology is ______.
Answer: user trust
5. An example of a rule-based approach ______.
Answer: Explain
C. Write ‘T’ for true and ‘F’ for false statements
1. In the rule-based approach, the machine learns on its own.
Answer: F
2. Artificial intelligence refers to the ability of the computer to think and learn.
Answer: T
3. Artificial intelligence is a subfield of machine learning.
Answer: F
4. Deep learning focuses on teaching a machine to use new information and make predictions based on it.
Answer: T
5. Flipkart uses the learning-based approach to learn the categories of movies (comedy, thriller, etc.) you like to watch.
Answer: T
D. Answer the following questions
1. Explain Weak AI and Strong AI with examples.
Answer:
Weak AI is designed to perform a specific task only. It cannot think beyond its programming.
Example: Google Assistant, Alexa, chatbots.
Strong AI is a type of AI that can think and act like a human being. It can perform any intellectual task that a human can do.
Example: Human-like intelligent robots (still under development).
2. What is the relation between machine learning and deep learning?
Answer:
Machine learning is a branch of Artificial Intelligence that allows machines to learn from data.
Deep learning is a part of machine learning that uses neural networks inspired by the human brain to solve complex problems.
3. Give one difference between the rule-based approach and the learning-based approach.
Answer:
In the rule-based approach, machines follow fixed rules given by humans.
In the learning-based approach, machines learn from data and improve automatically.
4. Briefly describe domains of AI.
Answer:
The main domains of AI are:
• Machine Learning – Teaching machines to learn from data.
• Natural Language Processing – Understanding human language.
• Computer Vision – Recognizing and interpreting images.
• Robotics – Designing intelligent machines.
5. Enlist some benefits and challenges of AI and Robotics.
Answer:
Benefits:
• Reduces human effort
• Increases speed and accuracy
• Can work in dangerous environments
• Improves productivity
Challenges:
• Job loss
• High cost
• Data privacy issues
• Lack of user trust
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