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AI Essentials Quiz

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AI domains, ethics, cycle, bias, pros/cons

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India

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AI Essentials Quiz
 

AI Essentials QuizOnline version

AI domains, ethics, cycle, bias, pros/cons

by Kalpana Sreenivasan
1

Which AI domain is primarily about machines learning from data?

2

Which is a typical example of AI in daily life?

3

What is usually the first stage of an AI project cycle?

4

Which ethical principle relates to avoiding harm in AI?

5

What commonly causes AI bias?

6

One major AI advantage is:

7

A notable disadvantage of AI is:

8

Which AI domain handles language understanding and processing?

9

Which ethical concern relates to collecting personal data without consent?

10

What activity helps assess model performance after deployment?

Feedback

Other domains focus on language, actions, or vision, not learning from data.

Spreadsheets and static tools are not AI-powered; assistants use NLP/ML.

Defining the problem sets scope before data or models.

Beneficence aims to do good; non-maleficence is about not causing harm.

Bias arises when data reflect unfair or skewed patterns.

Automation improves consistency and frees humans for complex work.

AI can replace routine tasks, impacting employment.

NLP focuses on text and speech understanding.

Privacy concerns arise when data collection lacks consent or protections.

Post-deployment monitoring checks real-world performance and drift.

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