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2. Name one type of intelligence related to the ability to use, comprehend, speak, and write language.

Ans: Linguistic Intelligence.
3. What does the term ‘Artificial Intelligence’ refer to?
Ans: Ability of machines or computer programs to carry out tasks requiring human intelligence.
4. List one of the foundational goals of Artificial Intelligence.

Ans: Learning.
5. What does decision-making involve in the broader sense?
Ans: Choosing between possible solutions to a problem.

6. What form of AI allows systems to learn automatically from past experiences?
Ans: Machine Learning.
7. Which field of computer science focuses on replicating parts of the complexity of the human vision
system?
Ans: Computer Vision.
8. In Natural Language Processing, what can be the input and output data?

Ans: Voice or written text.
9. What do AI Ethics refer to?
Ans: A set of rules and principles related to AI systems.

10. What happens if data used to train AI systems is biased?
Ans: AI systems become biased.
E. Short answer type question.

1. What are the two subfields of Artificial Intelligence?
Ans: The two subfields of Artificial Intelligence are Machine Learning and Deep Learning. Machine Learning is
a subset of AI, and Deep Learning is a subset of Machine Learning.
2. Provide an example of a Deep Learning application.

Ans: Driverless cars and autonomous vehicles are examples of Deep Learning systems.
3. What is the main goal of Natural Language Processing (NLP)?
Ans: NLP aims to enable computers to understand and interact with humans using natural language, whether
spoken or written.
4. Name a domain of AI that involves interpretation of digital images and videos.
Ans: Computer Vision is the domain of AI that focuses on replicating the complexity of human vision, allowing
computers to understand the content of digital images and videos.

5. What type of data do Machine Learning systems typically perform well on?
Ans: Machine Learning systems excel with small to medium-sized datasets.
6. Provide an example of an AI application mentioned in the chapter.

Ans: Siri, a virtual assistant, is mentioned as an example of an AI application.
7. What is the ethical concern related to biased data in AI systems?
Ans: Biased data can lead to biased outcomes, as illustrated by Amazon’s AI hiring system, which exhibited
gender discrimination due to biased input data.

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