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6. Ethics are a set of values or morals which help us separate right from wrong.
7. Bioethics is an ethical framework used in the education sector.
8. Value-based etical frameworks in AI provide guidance by focusing on fundamental ethical
principles and values.

D. Very short answer type questions.
1. Which stage in the AI Project Cycle involves finding unknown patterns in data?
2. What does the term “Data Acquisition” involve in AI projects?

3. What is the aim of the Evaluation stage in the AI project life cycle?
4. Give an example of AI technology used in product recommendation engines.
5. Can AI systems provide reasoning for the decisions they make?
6. What roles does computer vision play in driverless cars?

7. Explain the role of NLP in Google Translate application.
8. What do you mean by Bioethics?

E. Short answer type questions.
1. What are the three domains of AI? Explain in brief.
2. What do you understand by the term “AI Ethics”?
3. Write a short note on AI Project Cycle.
4. Explain any two components of NLP in brief.

5. Explain the principles of an AI ethical framework in short.
6. Why do we need ethical frameworks for AI?

F. Long answer type questions.
1. Describe the various sources from which data can be acquired.
2. Explain the principles of an AI ethical framework in the context of an AI based hiring tool.
3. Describe any four approaches to ethical frameworks in brief.
4. Draw the 4Ws problem canvas and explain each one of them briefly.
5. How is a rights-based AI ethical framework different from a utility-based AI ethical framework?

G. Assertion and Reason-based questions.

In the following questions, a statement of Assertion (A) is followed by a statement of Reason (R). Study both
the statements and give the answer as:

(a) if both Assertion and Reason are correct and Reason is the correct explanation of Assertion.
(b) if both Assertion and Reason are correct but Reason is not the correct explanation of Assertion.
(c) if Assertion is True but Reason is False.
(d) if Assertion is False but Reason is True.

1. Assertion (A): Bias in AI systems can lead to biased outcomes.
Reason (R): AI systems make decisions based on the data fed into them during development.
2. Assertion (A): Natural Language Processing (NLP) deals with interaction between computers and humans
using natural language.
Reason (R): NLP uses computer software to understand human language.

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