Page 151 - Ai Book - 10

E. Short answer type question.

1. What is Intelligence? Explain in brief any three types of intelligence that are mainly perceived by human
beings?

2. Differentiate between what is AI and what is not AI with the help of an example?
3. Write a short note on Artificial Intelligence.
4. What are the three domains of AI? Explain in brief.
5. What do you understand by the term “AI Ethics”?
6. Write a short note on Possible Bias in AI Systems while collecting Data.

7. How does a machine become Artificially Intelligent?
8. Mention four examples of machines that are smart bot not AI enabled.
9. Pick the odd one out and justify your answer:

a. Snap Chat Filter b. Face Lock in Phone
c. Chatbot d. Image search Option
10. Explain how AI works in the following areas (any two):
a. Google Search Engine b. Voice Assistants
c. E-commerce websites d. Google Search Engine

F. Long answer type question.
1. Explore the interdisciplinary nature of Artificial Intelligence. How do fields like Computer Science, Biology,
and Philosophy contribute to creating intelligent systems?
2. Explain the goals of Artificial Intelligence, particularly learning, and its impact on machine behaviour.
Provide real-world examples of AI applications in learning.
3. Investigate the role of Artificial Intelligence in the healthcare industry. How does AI technology, such as
medical imaging, contribute to patient care and diagnosis?
4. Examine ethical concerns related to AI, focusing on potential biases in decision-making. Provide examples
of how biased data can lead to biased outcomes.
5. Discuss the potential impact of AI on the job market and income inequalities. How might the adoption of
AI systems contribute to job displacement and changes in income distribution?

G. Application based questions.
1. Discuss the potential applications of AI in industrial settings. How can AI enhance automation in industries,
and what tasks can industrial robots perform?
2. Explore the application of AI in social networking sites such as Facebook. How does machine learning
enable instant identification and tagging of faces in photos?
3. In what ways do AI-based assistants benefit the education sector? Provide examples of tasks that AI
assistants can perform to improve educational processes in schools and colleges.

H. Assertion and reason-based questions.
1. Assertion: Bias in AI systems can lead to biased outcomes.
Reason: AI systems make decisions based on the data fed into them during development.

a. Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
b. Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
c. Assertion is true, but Reason is false.
d. Both Assertion and Reason are false.
25
25